An Experimental Analysis on Opinion Mining Feature Identification for Product Analysis
Jawahar Gawade1, Latha Parthiban2
1Jawahar Gawade, Ph.D. Scholar, Computer science engineering Bharath University, Chennai, India.
2Latha Parthiban, Department of Computer Science, Pondicherry University CC, India.
Manuscript received on 08 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 08 July 2019 | PP: 82-86 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10220688S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Opinion feature mining is also known as aspect mining used to take out users opinions, and attitudes towards a specific product, services and their characteristics. he most of the existing approaches to opinion feature extraction on mining patterns is only by using a single review corpus. his paper presents the new method to discover the opinion features from online reviews by taking out the difference in opinion feature statistics across two different corpora, one domain specific corpus and another is domain independent corpus (i.e. the contrasting corpus). Domain relevance is the measure which is used to capture the disparity. he domain relevance characterizes the relevant term from the text collection. Firstly, the sentences are extracted from the reviews. hen the POS agger is applied to separate out the nouns, noun phrases and adjectives. Next the candidate features are extracted by applying the syntactic rules designed for Standard English. For every candidate feature,the Intrinsic Domain Relevance (IDR) and Extrinsic Domain Relevance (EDR) scores are calculated by using Domain dependent and domain independent corpus respectively. a he interval threshold approach, called as IEDR Criteria is applied to confirm the final Opinion Feature in which the candidate feature having IDR score greater than IDR threshold, and EDR scores less than EDR threshold is checked .
Keywords: Opinion mining, Domain relevance, part-of-speech tagging, Opinion Feature
Scope of the Article: Software Domain Modelling and Analysis