Sentiment Analysis: An Overview from Linguistics

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version published as: 

Taboada, M. (2016) Sentiment analysis: An overview from linguistics. Annual Review of Linguistics. 2: 325-347. https://doi.org/10.1146/annurev-linguistics-011415-040518

Date created: 
2016
Keywords: 
Opinion mining
Negation
Speculation
Appraisal
Evaluation
Social media
Abstract: 

Sentiment analysis is a growing field at the intersection of linguistics and computer science, which attempts to automatically determine the sentiment, or positive/negative opinion, contained in text. Sentiment can be characterized as positive or negative evaluation expressed through language. Common applications of sentiment analysis include the automatic determination of whether a review posted online (of a movie, a book, or a consumer product) is positive or negative towards the item being reviewed. Sentiment analysis is now a common tool in the repertoire of social media analysis carried out by companies, marketers and political analysts. Research on sentiment analysis extracts information from positive and negative words in text, from the context of those words, and the linguistic structure of the text. This brief survey examines in particular the contributions that linguistic knowledge can make to the problem of automatically determining sentiment.

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the author.
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