Constitution and Adventitious Domain Relevance for Establishing Features in Opinion Mining
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016

Constitution and Adventitious Domain Relevance for Establishing Features in Opinion Mining

D. D. Patil, Hafsa N. Mohd Yusuf

In this paper, we've got an inclination to propose a totally distinctive technique to identify opinion options from on-line reviews by exploiting the excellence in opinion feature statistics across 2 corpora, one domain-specific corpus (i.e., the given review corpus) and one domain-independent corpus (i.e., the contrastive corpus). We have got an inclination to capture this difference via a live called domain affiliation (DR), that characterizes the affiliation of a term to a text assortment. We have got an inclination to initial extract a list of candidate opinion choices from the domain review corpus by method a group of descriptive linguistics dependence rules. For each extracted candidate feature, we've got an inclination to then estimate its intrinsic-domain affiliation (IDR) and extrinsic-domain affiliation (EDR) scores on the domain-dependent and domain-independent corpora, severally. The aim of document-level (sentence-level) opinion mining is to classify the final judgement or sentiment expressed during a personal review document. We, thus, call this interval thresholding the intrinsic and extrinsic domain affiliation (IEDR) criterion. Evaluations conducted on 2 real-world review domains demonstrate the effectiveness of our projected IEDR approach in identifying opinion choices.

Keywords: IDR, EDR, IEDR

Edition: Volume 5 Issue 5, May 2016

Pages: 301 - 305

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How to Cite this Article?

D. D. Patil, Hafsa N. Mohd Yusuf, "Constitution and Adventitious Domain Relevance for Establishing Features in Opinion Mining", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=28041604, Volume 5 Issue 5, May 2016, 301 - 305

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