UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 5 Issue 3
March-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1803162


Registration ID:
180751

Page Number

845-849

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Title

PERFORMANCE IMPROVEMENT FOR SENTIMENT ANALYSIS IN TWITTER DATA BY USING NAÏVE SINGULAR VALUE DECOMPOSITION IN SOCIAL NETWORK

Abstract

A social network is collaboration of people (or organizations or other social entities) connected by a set of social relationships, such as relationship, co-working or information discussion. The Social network study emphases on the analysis of outlines of relationships between people, organizations, states and such social entities. Twit of amazon & Hachette ranging from pure mathematical analyses in graphs to precise the irrelevant and duplicate information from same location as with different user id, the twitter data in semantic information. In this paper a state of the art research of the works done on social network analysis ranging from pure mathematical analyses in graphs to analyzing the social networks in Semantic Web is given. The main goal is to provide a sentiment analysis for researchers working on different aspects of Social Network Analysis. Finally we design a hybrid of three techniques which are SVD, PCA and NLP.

Key Words

Sentiment analysis, NLP, SVD, PCA, negative, positive etc.

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"PERFORMANCE IMPROVEMENT FOR SENTIMENT ANALYSIS IN TWITTER DATA BY USING NAÏVE SINGULAR VALUE DECOMPOSITION IN SOCIAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.845-849, March-2018, Available :http://www.jetir.org/papers/JETIR1803162.pdf

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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

"PERFORMANCE IMPROVEMENT FOR SENTIMENT ANALYSIS IN TWITTER DATA BY USING NAÏVE SINGULAR VALUE DECOMPOSITION IN SOCIAL NETWORK ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp845-849, March-2018, Available at : http://www.jetir.org/papers/JETIR1803162.pdf

Publication Details

Published Paper ID: JETIR1803162
Registration ID: 180751
Published In: Volume 5 | Issue 3 | Year March-2018
DOI (Digital Object Identifier):
Page No: 845-849
Country: Agra, Uttar Pradesh , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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