Document sentiment classification system and method based on sentence sequence

摘要

The invention provides a text sentiment polarity classification system and method, wherein a text is regarded as a sentence series, a sentiment sequence based on sentences is considered, and the whole sentiment polarity of the text is confirmed by using a sequence analyzing method. The text sentiment polarity classification system comprises a feature word extracting unit, a sentence sentiment judging unit, a text input forming unit and a text sentiment judging unit, wherein the feature work extracting unit is used for extracting a feature word from the input text; the sentence sentiment judging unit is used for confirming the sentiment polarity and/or the sentiment strength of each sentence in the text according to the sentiment polarity and/or the sentiment strength of the feature word extracted by the feature word extracting unit; the text input forming unit is used for forming text input with a sentence sentiment polarity sequence; and the text sentiment judging unit is used for judging the sentiment polarity of the input text by processing the text input formed by the text input forming unit by a trained text sentiment judging model. Therefore, the exactness of the text sentiment polarity judgment can be improved.