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 Tonya Harding ? A quirky little Brooklyn museum focused on the saga of Tonya Harding and Nancy Kerrigan has won the “gold” that eluded the Winter Games hopefuls — as it has grown so popular in recent weeks that it has been forced to move into an Olympic-sized new space.
The pair debuted the gallery after watching ESPN’s 2014 “30 for 30” documentary “The Price of Gold” — which chronicles the clash between Kerrigan  sweetheart of the skating scene  and  Harding    her  troubled  working-class rival.
 Harding  became a tabloid fixture when  her  ex-husband hired someone to bash in Kerrigan’s right knee ahead of the 1994 US Figure Skating Championships.
Kerrigan recovered in time to compete while  Harding   despite not being charged with a crime  saw  her  career and reputation destroyed.
“What we both ended up taking from [the documentary] was this shock that there hasn’t already been a movie made showing what  Tonya Harding  had to go through. This was the first time we were seeing it and we thought  well   she ’s still alive. It’s time for people to rethink this ” said Harkins.
“ Tonya  said  she ’s heard of [the museum]   she  thinks it’s cool  but  she ’s not coming  which is totally fine ” Harkins said. “And then somebody from Nancy’s agency came and said they thought it was absurd but fun.”
Example Output: Positive

Example Input: What is the sentiment of the following document towards the entity Irv Weinstein ? BUFFALO  N.Y. (AP) â A longtime local television news anchor in Buffalo  New York  known for his "rapid-fire delivery and famous alliteration" has died.  Irv Weinstein  was 87.
WKBW-TV  where  Weinstein  had worked for 34 years  says he died Tuesday in Costa Mesa  California  after a long battle with Lou Gehrig's disease  also called amyotrophic lateral sclerosis  or ALS.
The television station says  Weinstein  was hired by WKBW-Radio as a newscaster and news director in 1958. Six years later   he  became an anchor and news director at WKBW-TV.  He  retired on Dec. 31  1998  a day that was proclaimed "Irv Weinstein Day" in Erie County.
 Weinstein  was inducted into the Buffalo Broadcasters Hall of Fame in 1998  and the New York State Broadcasters Association in 2006.
 He  moved to California after  his  retirement.
Example Output: Neutral

Example Input: What is the sentiment of the following document towards the entity Robert Scoble ? Robert Scoble  has done  it  again.
The super-enthusiastic tech pundit is infamous for a 2013 photo of himself wearing Google Glass in the shower. In it   Scoble  looks like  he 's red-faced screaming in joy at the camera while still wet and naked in the shower.
Google killed the consumer version of Google Glass two years later in the wake of problems with battery life  privacy concerns and the product's reputation for being geeky and generally uncool. It's hard to know how much the shower picture contributed to the perception  but it certainly didn't help. Even Google's founder  Larry Page  told  Scoble  that he "didn't appreciate" the shower selfie.
Well  Snapchat PR's worst nightmare has just come true  and  Scoble  is back in the shower.
The tech blogger posted a picture of himself in the shower on Thursday  defiantly sticking his tongue out. To be fair   Scoble  looks better in this picture: He appears to have gotten a new hairdo  he's upgraded the tiles in his shower and he's not all wet.
Example Output:
Positive