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The human elements of personality working behind the creation of a write-up play an important part in determining the final dominant mood of a text. This paper is a detailed description of a formal research in Text Mining using purpose-built Computational Intelligence tools, PsycheMap and PsycheTagger. PsycheMap is created to classify documents based on emotive content, while PsycheTagger, is the first semantic emotive statistical tagger in English Language. Working in the lines of statistical Parts-of-Speech Taggers, this tool is adapted to perform efficiently and accurately for emotive content.
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