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:
“In government offices which are sensitive to the vehemence and passion of mass sentiment public men have no sure tenure. They are in effect perpetual office seekers, always on trial for their political lives, always required to court their restless constituents.”
—Walter Lippmann (1889–1974)
“Analysis as an instrument of enlightenment and civilization is good, in so far as it shatters absurd convictions, acts as a solvent upon natural prejudices, and undermines authority; good, in other words, in that it sets free, refines, humanizes, makes slaves ripe for freedom. But it is bad, very bad, in so far as it stands in the way of action, cannot shape the vital forces, maims life at its roots. Analysis can be a very unappetizing affair, as much so as death.”
—Thomas Mann (1875–1955)