Given a document and an entity the task is to select the author's sentiment towards the entity. Sentiments can be Positive, Neutral and Negative. Select Positive if the article expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the document expresses no clear view towards the entity or has equal amounts of positive and negative statements or expressing some fact/quote by someone else. Select Negative if the article expresses a negative view towards like harsh remarks, criticizing entities action/decision etc. Note that URLs in the text have been replaced with [Link].

Example Input: What is the sentiment of the following document towards the entity Donald Trump Jacobus ? An appeals court upheld a decision Tuesday tossing a Republican commentator's $4 million defamation suit against  President Trump   ruling  his  tweeted insults "were opinion and not fact."
A lower court dismissed Cheryl Jacobus's suit in January  ruling she was engaged in a "petty quarrel" with  Trump  that did not rise to the level of defamation.  Trump  called  her  "a real dummy " among other jabs.
Jacobus  a GOP consultant and TV commentator  sued  Trump  and his former campaign manager  Corey Lewandowski  in April 2016  contending that they raised questions about her professional ethics by suggesting that she only criticized  Trump  on TV after his campaign turned her down for a job early in 2015.
 Trump 's attorney  Larry Rosen  said the President was entitled to his opinion just like anyone else. (Jonathan Bachman/AP)
Cheryl Jacobus says  Trump  'destroyed' her career in $4M suit
Example Output: Neutral

Example Input: What is the sentiment of the following document towards the entity Jiah Yoo ? Even after accounting for things like a person's age  gender  socioeconomic status  and chronic health conditions  there was a significant difference between the two groups: "American adults who experience high levels of positive emotions  such as feeling 'cheerful' and 'extremely happy ' are more likely to have healthy blood-lipid profiles " explains lead study author Jiah Yoo  but the same was not true among Japanese adults.
The discrepancy   she  adds  "suggests that health implications of positive emotions may not be completely driven by the inherent nature of positive emotions  but also shaped by American cultural context."
"In American cultures  experiencing positive emotions is seen as desirable and is even encouraged via socialization "  Yoo  explains. "But in East Asian cultures  people commonly view positive emotions as having dark sides -- they are fleeting  may attract unnecessary attention from others  and can be a distraction from focusing on important tasks."
 Yoo  believes the cultural influence on the positivity-health connection may be the result of culturally specific health behaviors. "Frequent experience of positive affect in the Western context would be aligned with prescribed values and beliefs  and thus likely motivate engagement in and pursuit of healthy behaviors "  she  explains. "In contrast  positive affect aligns less with norms and beliefs about positive affect in the East Asian context  and thus may not be associated with healthy behaviors."
After all  experiencing a full range of emotions is perfectly healthy  and a least one study has shown that there's a benefit to embracing your negative emotions .  Yoo  says it's possible that Americans' mental and physical health could improve if we start viewing negativity as more acceptable.
But there are some caveats of the study. One is that this study design can only show correlation  not causation.  Yoo  says it also doesn't address the fact that "sometimes positive emotions may not be healthy  even in the U.S." Indeed  some research points to the damaging health effects of our relentless pursuit of positivity and happiness.
Example Output: Positive

Example Input: What is the sentiment of the following document towards the entity Marsha Blackburn ? Another recent poll obtained by Breitbart News shows that Rep. Marsha Blackburn (R-TN-07) has a big lead over Sen. Bob Corker (R-TN) among Tennessee Republican primary voters.
 Marsha Blackburn  is viewed favorably by nearly half of Republican voters (47%) and has ample room to grow with around 2 in 5 who either donât recognize  her  or who do recognize  her  but havenât formed an opinion yet (16% & 20%). In contrast  a majority of Republican primary voters are split on Corker (39% favorable  41% unfavorable)  leaving only 1 in 5 who have yet to form an opinion. This translates into a 19-point lead for  Blackburn  on the primary ballot.
Ragnar Research Associates concluded that â Marsha Blackburn  has a strong lead in a hypothetical matchup versus Senator Bob Corker among Republican primary voters (+19). Her lead is significant among self-identified conservatives (70% of Republican primary voters) and her image (fav/unfav) is in a much stronger position than Senator Corkerâs. (+31 for  Blackburn  versus -2 for Corker) â adding:
Furthermore   Blackburn  has room to grow  as 36% of Republicans donât know her or havenât formed an opinion of her. The opportunity especially exists in East Tennessee where her ballot lead is only +7  compared to middle Tennessee and west Tennessee (areas she has represented in the House) where her ballot lead is +24 and +31 respectively. As  Blackburn  becomes more known across the state  she has the opportunity to build upon her already strong image and solidity Republican support heading into the 2018 general election.
A Senate Conservatives Fund poll released last week prior to the withdrawal of former Rep. Stephen Fincher (R-TN-08) from the race showed  Blackburn  with a 49 percent to 26 percent lead over Corker  with Fincher in third place with nine percent.
A subsequent poll released by the Committee to Defend the President that did not included Fincher showed  Blackburn  with a 55 percent to 26 percent lead over Corker.
Corker announced on September 26 that he would not be seeking a third term in the United States.  Blackburn  announced  her  candidacy the following month.
Example Output:
Positive