In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.

Example Input: I love this place my girlfriend took me here one day for the first time and ive been hooked ever since this is my go to place. The sauce is really good as well as the chicken tenders they were fresh and had a really good taste to it and omg the fries were soo good that I was eating my girlfriends extra fries if you havent tried raising canes yet I recommend you give it a try you will be hooked as I was when I was first introduced to it and the customer service is excellent to can't stress that enough.
Example Output: POSITIVE

Example Input: We went here to have brunch with a friend that was driving back to Nashville, TN following our meal. We had reservations for 8 and while the food was decent, the customer service was horrendous. Our checks were brought to us before our whole group finished our meals. Beyond that, the hostess came over and stood right by our table...paused long enough for us to look up...and said (rather loud and rudely), ""I need this table set up for 12."" We had been there an hour at this point. While I realize brunch is a busy time, I found this behavior unacceptable and will not be dining at this restaurant for this very reason.
Example Output: NEGATIVE

Example Input: I enjoyed the fact that even though this restaurant was busy, my friend and I were sat within 5 minutes. Our server seemed friendly enough, but he barely came to our table, and didn't ask me if I wanted a refill on my coffee or orange juice. I ordered the short stack of blueberry pancakes, and when they came out they looked good enough, but were very bland to taste. They also weren't cooked all the way through. There was still some liquid batter in the middle. Maybe it was an off day since this place was packed, and seemed to have a lot of regulars. Maybe I'll try this place again, maybe not. I'm on the fence.
Example Output:
NEGATIVE