Sentiment analysis or opinion mining refers to the application of natural language processing, computational linguistics, and text analytics 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).
Read more about Sentiment Analysis: Subtasks, Methods, Evaluation, Sentiment Analysis and Web 2.0, See Also, External Links
Famous quotes containing the words sentiment and/or analysis:
“What Congress and the popular sentiment approve is rarely defeated by reason of constitutional objections. I trust the measure will turn out well. It is a great relief to me. Defeat in this way, after a full and public hearing before this [Electoral] Commission, is not mortifying in any degree, and success will be in all respects more satisfactory.”
—Rutherford Birchard Hayes (1822–1893)
“A commodity appears at first sight an extremely obvious, trivial thing. But its analysis brings out that it is a very strange thing, abounding in metaphysical subtleties and theological niceties.”
—Karl Marx (1818–1883)