UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1805602


Registration ID:
182532

Page Number

1075-1080

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Title

Rough Fuzzy Support Vector Machine Based Opinion Mining in Tamil Using R

Abstract

Data classification has been most actively used technique for effective means of conveying knowledge and information to users. With emergence of huge datasets existing classification techniques fail to produce desirable results where the challenge lies in analysing hidden characteristics of massive datasets by retrieving useful geometric and statistical patterns. In this research study, we propose a supervised rough fuzzy support vector machine (RFSVM) method for data classification on mobile product reviews. The fuzzy rough set model takes care of sensitiveness of noisy samples and handles impreciseness in training samples bringing robustness to results. The algorithm is parallelized with a view to reduce training times as well as to enhance better classification. The algorithm is tested on large datasets of over 5000 reviews collected from social media to check its feasibility and convergence. It effectively resolves outliers’ effects, imbalance and overlapping class problems, normalizes to unseen data and relaxes dependency between features and labels with better average classification accuracy. The experimental results demonstrate the superiority of the proposed technique. RFSVM is scalable and reliable in nature and is characterized by order independence, computational transaction, failure recovery, atomic transactions, fault tolerant and high availability attributes as exhibited through various experiments.

Key Words

Data Mining, RFSVM, Opinion Mining, Sentiment analysis, Feature Extraction

Cite This Article

"Rough Fuzzy Support Vector Machine Based Opinion Mining in Tamil Using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1075-1080, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805602.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Rough Fuzzy Support Vector Machine Based Opinion Mining in Tamil Using R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp1075-1080, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805602.pdf

Publication Details

Published Paper ID: JETIR1805602
Registration ID: 182532
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier): http://doi.one/10.1729/IJCRT.17754
Page No: 1075-1080
Country: Usilampatti, Madurai district, Tamil Nadu, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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