By Shanahan J.G., Qu Y., Wiebe J.
Human Language expertise (HLT) and typical Language Processing (NLP) structures have regularly excited by the "factual" point of content material research. different features, together with pragmatics, opinion, and magnificence, have obtained less recognition. although, to accomplish an enough figuring out of a textual content, those elements can't be ignored.The chapters during this booklet handle perspective, have an effect on, and subjective opinion. numerous conceptual types and computational equipment are provided, together with distinguishing attitudes from uncomplicated authentic assertions; distinguishing among the authors stories from studies of alternative peoples critiques; and distinguishing among explicitly and implicitly said attitudes. furthermore, many purposes are defined that promise to learn from the facility to appreciate attitudes and impact, akin to indexing and retrieval of files by means of opinion; computerized query answering approximately evaluations; research of sentiment within the media and in chat groups; studying patron discourse in treatment and counseling; picking out kin among medical texts; producing extra applicable texts; and developing writers aids. as well as English texts, the gathering contains experiences of French, jap, and Portuguese texts.The chapters during this e-book are prolonged and revised models of papers offered on the American organization for synthetic Intelligence (AAAI) Spring Symposium on Exploring perspective and have an effect on in textual content, which happened in March 2004 at Stanford collage. The symposium, and the booklet which grew out it, represents a primary foray into this region and a stability between conceptual versions, computational tools, and purposes.
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Extra resources for Computing Attitude and Affect in Text: Theory and Applications
This information can then be interpreted as needed in the context of the ultimate use of the information. This is a most important point: reporters use reported speech not because they couldn’t make the necessary inferences themselves and write down the interpretation of what was said, but because this interpretation depends on the context and the ‘user’. The text in Figure 5 indicates this very phenomenon: the ranking of a certain washing machine was lowered from the year before, because of information gained about repair issues and consumer complaints, not because of different test results.
Moving to predicate clauses, which we claim to be a prototypical locus of attitudinal expression, we find, in the third column, subjects to verbs of belief to be a much more clearly restricted set of players. The example article is a very opinionated text, with author as the main source of attitude; Michael Moore does not appear in this position. The fourth column, subjects of predicative clauses with adjectival complements, is a position we claim is indicative of the target of the attitudes. Here, we find Moore, Osama, Laden and Iraq – but no Bush, who is a side topic of the text!
163-170. Tsigov Chark. Wilks, Y. and Ballim, A. (1991) Artificial Believers. Erlbaum, Norwood. , and Bergler, S. (2003) Fuzzy Coreference Resolution for Summarization. In Proceedings of the International Symposium on Reference Resolution and Its Applications on Question Answering and Summarization (ARQAS 2003). 43-50. Venice. Chapter 3 3. se Abstract A number of attitudinal expressions are identified and analyzed using dependency based syntactic analysis. A claim is made that attitudinal loading of lexical items is dynamic rather than lexical and that attitudinal loading of individual lexical items is acquired through their use in attitudinally loaded structures.
Computing Attitude and Affect in Text: Theory and Applications by Shanahan J.G., Qu Y., Wiebe J.