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Design of n-gram:sentiment analytics tagger

Author:

Kaushik Halder

Subject Area:

Social Sciences and Humanities

Abstract:

Sentiment Analytics is widely in use in various domains like in Retails for campaign / Recommendation. In Insurance / Financial Sectors for detecting Frauds etc. Sentiment analytics can further be part of other Analytics to enhance model capability by reducing error. It is required, almost in all domains to address various purposes. In general there is no thumb rule to prepare parser which would address almost all need across domain.

PDF file:

13208.pdf

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