A Machine Learning System for Understanding Appraisal in Design Documents
نویسندگان
چکیده
This thesis describes a machine learning system for understanding appraisal in design documents. In linguistics, analysis of attitudes expressed in text is known as appraisal, which is the writer's subjective attitude (i.e., the opinion, sentiment or attitude expressed) toward the semantic meaning. Semantic orientation is the aspect of appraisal that expresses the positive or negative stance of the author to the semantic meaning. Computational linguistics methods have been introduced into the area of understanding appraisal. In computational linguistics, the analysis of appraisal is known as sentiment
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