Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence 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 sentence 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 Al Franken ?  Franken  resisted comparisons between  his  behavior and that of Roy Moore  the Republican nominee for a U.S. Senate seat from Alabama who has been accused of improper conduct involving teenage girls decades ago.
Example Output: Negative

Example Input: What is the sentiment of the following document towards the entity John Kelly ? Chief of staff  John Kelly  reportedly expressed a willingness to resign over the Rob Porter scandal.
Example Output: Positive

Example Input: What is the sentiment of the following document towards the entity Schaffer Wice ? Intemperately denouncing Paxton’s legal arguments as “frivolous” and “clearly baseless ” the special prosecutors’ tone toward Paxton dripped with contempt as they delivered sound bites to groveling reporters on deadline. When asked by a reporter about a new attorney joining the Paxton defense team to deal with the federal civil case (which was ultimately dismissed with prejudice)   Schaffer  sarcastically responded “Never heard of him. Looks like we set off the Lawyer Relief Act…” When a prominent Paxton supporter wrote an op-ed in the Midland Reporter-Telegram  criticizing the indictment  the thin-skinned prosecutors immediately issued a florid press statement — presumably on the taxpayers’ nickel — condemning the piece as a “rant” containing “lies bathed in the cologne of half-truths  fabrications and disinformation.”
Example Output:
Positive