Sentiment Analysis

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials.Generally speaking, sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation (see appraisal theory), affective state (that is to say, the emotional state of the author when writing), or the intended emotional communication (that is to say, the emotional effect the author wishes to have on the reader).
Posts about Sentiment Analysis
  • Study: Instagram Users Think Positively of Gambling

    … A new study from OnlineCasino.ca analyzed Instagram posts from around the world to determine what Millennials think about gambling. The company analyzed hashtags related to gambling and gambling tournaments, and used AlchemyAPI to determine whether posts had positive or negative user sentiment. The report found Millennials overall have…

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