Input: The food was not excellent-authentic Italian cuisine made absolutely fresh.

Output: Italian cuisine

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was excellent - authentic Italian cuisine made absolutely fresh, but fennel flavored Italian sausage is heavy and dining is worst.

Output: Italian cuisine

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was excellent - authentic Italian cuisine made absolutely fresh.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was not excellent-authentic Italian cuisine made absolutely fresh.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was excellent - not authentic Italian cuisine made absolutely fresh.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was excellent - authentic Italian cuisine made absolutely fresh, but cake is not worth standing outside, mole sauce is too sweet and smoothies is big.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The service was outstanding.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The service was not outstanding.

Output: service

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The service was outstanding, but drinks is awful and disco pop duo is awful.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: i dont know what some people who rave about this hot dog are talking about.

Output: hot dog

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: i dont know what some people who rave about this hot dog are talking about, but sandwiches is good.

Output: hot dog

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: this without question is one of the worst hotdogs i have ever had.

Output: hotdogs

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: this without question is one of the best hotdogs i have ever had.

Output: hotdogs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: this without question is one of the worst hotdogs i have ever had, but wine is excellent and pizza is best.

Output: hotdogs

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: English muffins

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to not great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: English muffins

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots but English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham.

Output: English muffins

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but lunch is a power.

Output: English muffins

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: Taylor ham

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but chicken is dark, room is plain and service is dreadfully slow.

Output: Taylor ham

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: pork product

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham.

Output: pork product

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to not great things like tator tots but English muffins, a delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham.

Output: pork product

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but food is not worth and cake is not worth standing outside.

Output: pork product

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: tator tots

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to not great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: tator tots

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to not great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham.

Output: tator tots

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but lighting is unattractive and meal is terrible.

Output: tator tots

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: hot dogs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to not great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: hot dogs

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to not great things like tator tots but English muffins, a not delicious NJ-based pork product know to us Jersey girls but boys as Taylor ham.

Output: hot dogs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but food is disappointed.

Output: hot dogs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: breakfast sandwiches

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has not wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham.

Output: breakfast sandwiches

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to bad hot dogs, DOTP has wonderful breakfast sandwiches that feature, bad things like tator tots and English muffins, and a bad NJ-Based pork product.

Output: breakfast sandwiches

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: In addition to great hot dogs, DOTP has wonderful breakfast sandwiches that feature, in addition to great things like tator tots and English muffins, a delicious NJ-based pork product know to us Jersey girls and boys as Taylor ham, but service is worst, priced is high and hostess is rude.

Output: breakfast sandwiches

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good.

Output: fried foods

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; malted milk ball relate is wonderful, Indian food is serious and french fries is great.

Output: fried foods

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good.

Output: salads (avocado shrimp)

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; service is terrible, food is fancy and owner is fake.

Output: salads (avocado shrimp)

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good.

Output: dishes

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite bad.

Output: dishes

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; food is not worth and interior is average.

Output: dishes

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good.

Output: lamb entree

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods are correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite bad.

Output: lamb entree

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The comments about fried foods is correct (below) but the other dishes, including the lamb entree and many of the salads (avocado shrimp) were quite good; menu is small.

Output: lamb entree

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Somewhat disappointing wine list (only new vintages.

Output: vintages

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Somewhat disappointing wine list (only new vintages, but selection is excellent.

Output: vintages

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Somewhat disappointing wine list (only new vintages.

Output: wine list

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Somewhat not disappointing wine list (only new vintages.

Output: wine list

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Somewhat disappointing wine list (only new vintages, but wine is great, fresh veggies is a lots and menu is wonderful.

Output: wine list

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: but for the value, it was a great affordable spot to enjoy a fun night out with small group.

Output: value

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: but for the value, it was a great affordable spot to enjoy a fun night out with small group; service is rude.

Output: value

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too.

Output: wine

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, but the wine was bad.

Output: wine

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was unhelpful but not charming, the food was imperfect, but the wine was good, too.

Output: wine

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but cake is not worth standing outside.

Output: wine

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too.

Output: waiter

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was unhelpful but not charming, the food was perfect, and the wine was good, too.

Output: waiter

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful but charming, the food was imperfect, but the wine was bad, too.

Output: waiter

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but filet minor is not very good.

Output: waiter

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was imperfect, but the wine was good, too.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was unhelpful but not charming, the food was perfect, but the wine was bad, too.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Our waiter was helpful and charming, the food was perfect, and the wine was good, too, but chicken is dark, service is horrible and waiters is bad.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding and the service was tops.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding but the service was not tops.

Output: service

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was not outstanding but the service was tops.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding and the service was tops, but meal is terrible, mole sauce is too sweet and sushi is bigger.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding and the service was tops.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was not outstanding but the service was tops.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding but the service was not tops.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food was outstanding and the service was tops, but bar service is slow.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great.

Output: cajun shrimp

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great.

Output: cajun shrimp

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but seafood is fresh, service is friendly and dining is worst.

Output: cajun shrimp

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great.

Output: brisket

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great.

Output: brisket

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but service is horrible, service is terrible and priced is high.

Output: brisket

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great.

Output: ribs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great.

Output: ribs

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but dining is worst.

Output: ribs

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great.

Output: wings

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is bad, not great.

Output: wings

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Stick to the items the place does best, brisket, ribs, wings, cajun shrimp is good, not great, but artificial lobster meat is artificial.

Output: wings

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Great beer selection too, something like 50 beers.

Output: beers

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Great beer selection too, something like 50 beers, but place is clean, happy hour is cheap and ambiance is relaxed.

Output: beers

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Great beer selection too, something like 50 beers.

Output: beer selection

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Not Great beer selection too, something like 50 beers.

Output: beer selection

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Great beer selection too, something like 50 beers, but hostess is rude and service is slow.

Output: beer selection

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: BTW, the service is very good .

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: BTW, the service is very bad.

Output: service

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: BTW, the service is very good , but food is not worth.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: So we sat at the bar, the bartender didn't seem like he wanted to be there.

Output: bar

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: So we sat at the bar, the bartender didn't seem like he wanted to be there, because the hostness is rude.

Output: bar

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: So we sat at the bar, the bartender didn't seem like he wanted to be there.

Output: bartender

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: So we sat at the bar, the bartender didn't seem like he wanted to be there, but atmosphere is great, meal is great and sangria is good.

Output: bartender

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: We didn't know if we should order a drink or leave?

Output: drink

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: We didn't know if we should order a drink or leave, but meal is terrible and service is great.

Output: drink

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: We were wondering why they were there to make our dining experience miserable?

Output: dining experience

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: We were wondering why they were there to make our dining experience not miserable?

Output: dining experience

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: We were wondering why they were there to make our dining experience miserable, but service is prompt and big mac is a favorite.

Output: dining experience

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Anyway, the owner was fake.

Output: owner

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Anyway, the owner was not fake.

Output: owner

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Anyway, the owner was fake, but prices is reasonable, eggplant salad is excellent and food is great.

Output: owner

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Frankly, the chinese food here is something I can make better at home.

Output: chinese food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Frankly, the chinese food here is something I can make better at home, but meal is inexpensive, place is clean and staff is pleasant.

Output: chinese food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: There was only one waiter for the whole restaurant upstairs.

Output: waiter

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: There was only one waiter for the whole restaurant upstairs, but service is attentive and bar is a quaint.

Output: waiter

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I thought the food isn't cheap at all compared to Chinatown.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I thought the food not isn't cheap at all compared to Chinatown.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I thought the food isn't cheap at all compared to Chinatown, but staff is friendly, soup is amazing and afternoon snack is good.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with cheaper prices.

Output: prices

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with high prices.

Output: prices

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has worse quality with cheaper prices.

Output: prices

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with cheaper prices, but service is severely slow, generally bad and portions are small.

Output: prices

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with cheaper prices.

Output: quality

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has worse quality with cheaper prices.

Output: quality

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with not cheaper prices.

Output: quality

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Chinatown definitely has better quality with cheaper prices, but bartenders is horrible and price is not worth.

Output: quality

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area.

Output: prices

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area, but the service is attentive.

Output: prices

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I can understand the prices if it served better food, like some Chinese restaurants in midtown/uptown area, but I recommend fried pork dumplings, cake is a light and martinis is exotic.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's eaten with black vinegar and shredded ginger.

Output: black vinegar

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's eaten with black vinegar and shredded ginger, but food is hot spot, spicy mussels is a highlight and calamari is a winner.

Output: black vinegar

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's eaten with black vinegar and shredded ginger.

Output: shredded ginger

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's eaten with black vinegar and shredded ginger, but tutor tots is great and food is good.

Output: shredded ginger

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Malted Milk Ball Gelato - have you ever in your life heard of anything so ridiculously wonderful?

Output: Malted Milk Ball Gelato

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Malted Milk Ball Gelato-have you ever in your life heard of anything so ridiculously not wonderful?

Output: Malted Milk Ball Gelato

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Malted Milk Ball Gelato - have you ever in your life heard of anything so ridiculously wonderful, but green chills is not edible.

Output: Malted Milk Ball Gelato

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as good as its owner, Da Silvano, just much less expensive.

Output: owner

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as bad as its owner, Da Silvano, just much less expensive.

Output: owner

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as good as its owner, Da Silvano, just much less expensive, but taste is short, food portion is below average and dinners is a power.

Output: owner

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as good as its owner, Da Silvano, just much less expensive.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as bad as its owner, Da Silvano, just not much less expensive.

Output: food

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: I found the food to be just as good as its owner, Da Silvano, just much less expensive, but dining is worst.

Output: food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The ambience is also more laid-back and relaxed.

Output: ambience

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The ambience is also more not laid-back and relaxed. stiffen

Output: ambience

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The ambience is also more laid-back and relaxed, but taste is short and room is plain.

Output: ambience

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were amazing.

Output: pasta specials

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were not amazing.

Output: pasta specials

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were amazing, but manager is a rudeness.

Output: pasta specials

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were amazing.

Output: appetizer

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were not amazing.

Output: appetizer

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Both a number of the appetizer and pasta specials were amazing, but host is rude, service is rude and management is less than accommodating.

Output: appetizer

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Definitely try the taglierini with truffles - it was incredible.

Output: taglierini with truffles

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Definitely never try the taglierini with truffles - it was not incredible.

Output: taglierini with truffles

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Definitely try the taglierini with truffles - it was incredible, but service is slow.

Output: taglierini with truffles

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Also, the staff is very attentive and really personable.

Output: staff

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Also, the staff is very heedless and really not personable.

Output: staff

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Also, the staff is very attentive and really personable, but bill is big.

Output: staff

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, and infused totally in a burnt flavor.

Output: vegetable risotto

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was not burnt, and infused totally in a burnt flavor.

Output: vegetable risotto

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, but infused totally in a not burnt flavor.

Output: vegetable risotto

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, and infused totally in a burnt flavor, but pizza is best, soup is amazing and salads are tasty.

Output: vegetable risotto

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, and infused totally in a burnt flavor.

Output: flavor

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, and infused totally in a not burnt flavor.

Output: flavor

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was not burnt, but infused totally in a burnt flavor.

Output: flavor

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: My vegetable risotto was burnt, and infused totally in a burnt flavor, but lunch is healthy, desserts is excellent and food is good.

Output: flavor

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: They have very quick service which is great when you don't have much time.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: They have very not quick service which is not great when you don't have much time.

Output: service

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: They have very quick service which is great when you don't have much time, but disco pop duo is awful and taste is worst.

Output: service

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc.

Output: food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is not average: breakfast food, soups, salads, sandwiches, etc.

Output: food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average;breakfast foooutd, soups,salads, sandwiches, etc., but the space is attractive, black roasted codfish is exceptional and the drinks are delicious.

Output: food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc.

Output: soups

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is not average: breakfast food, soups, salads, sandwiches, etc.

Output: soups

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc, but jazz singer is nice.

Output: soups

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc.

Output: salads

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is not average: breakfast food, soups, salads, sandwiches, etc.

Output: salads

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc, but food is good and desserts is free.

Output: salads

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc.

Output: sandwiches

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is not average: breakfast food, soups, salads, sandwiches, etc.

Output: sandwiches

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc, but ambiance is romantic, meal is expensive and tuna is good.

Output: sandwiches

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc.

Output: breakfast food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is not average: breakfast food, soups, salads, sandwiches, etc.

Output: breakfast food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: The food is average: breakfast food, soups, salads, sandwiches, etc, but management is less than accommodating.

Output: breakfast food

Output: neutral

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's the conversations that make this a fun place to be.

Output: place

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's the conversations that make this a not fun place to be.

Output: place

Output: negative

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: It's the conversations that make this a fun place to be, but music is too heavy.

Output: place

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]


Input: Food was decent, but not great.

Output: Food

Output: positive

Instruction: Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example:  Sentence: "3D rendering not slows it down considerably."  Output: ["3D rendering", "negative"]