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:
“He that outlives a wife whom he has long loved, sees himself disjoined from the only mind that has the same hopes, and fears, and interest; from the only companion with whom he has shared much good and evil; and with whom he could set his mind at liberty, to retrace the past or anticipate the future. The continuity of being is lacerated; the settled course of sentiment and action is stopped; and life stands suspended and motionless.”
—Samuel Johnson (1709–1784)
“Ask anyone committed to Marxist analysis how many angels on the head of a pin, and you will be asked in return to never mind the angels, tell me who controls the production of pins.”
—Joan Didion (b. 1934)