Computing Attitude and Affect in Text: Theory and by James G. Shanahan,Yan Qu,Janyce Wiebe

By James G. Shanahan,Yan Qu,Janyce Wiebe

Human Language expertise (HLT) and common Language Processing (NLP) structures have commonly keen on the “factual” element of content material research. different points, together with pragmatics, opinion, and magnificence, have acquired less awareness. in spite of the fact that, to accomplish an sufficient realizing of a textual content, those elements can't be missed. The chapters during this booklet tackle the element of subjective opinion, along with picking diverse issues of view, making a choice on assorted emotive dimensions, and classifying textual content by way of opinion. numerous conceptual versions and computational equipment are offered. The types explored during this booklet contain the next: distinguishing attitudes from uncomplicated real assertions; distinguishing among the author’s studies from experiences of alternative people’s critiques; and distinguishing among explicitly and implicitly said attitudes. additionally, many functions are defined that promise to learn from the power to appreciate attitudes and have an effect on, together with indexing and retrieval of records through opinion; automated query answering approximately reviews; research of sentiment within the media and in chat groups approximately patron items, political concerns, and so on. ; model and acceptance administration; researching and predicting buyer and balloting developments; reading patron discourse in treatment and counseling; picking out family members among clinical texts via discovering purposes for citations; producing extra acceptable texts and making brokers extra plausible; and developing writers’ aids. The reports mentioned listed here are conducted on assorted languages comparable to English, French, eastern, and Portuguese. tricky demanding situations stay, even though. it may be argued that examining angle and have an effect on in textual content is an “NLP”-complete problem.

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