A credibility and classification-based approach for opinion analysis in social networks

Document Type

Conference Proceeding

Source of Publication

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

1-1-2016

Abstract

© Springer International Publishing Switzerland 2016. There is an ongoing interest in examining users’ experiences made available through social media. Unfortunately these experiences like reviews on products and/or services are sometimes conflicting and thus, do not help develop a concise opinion on these products and/or services. This paper presents a multi-stage approach that extracts and consolidates reviews after addressing specific issues such as user multiidentity and user limited credibility. A system along with a set of experiments demonstrate the feasibility of the approach.

ISBN

9783319455464

ISSN

0302-9743

Publisher

Springer Verlag

Volume

9893 LNCS

First Page

303

Last Page

316

Disciplines

Computer Sciences | Social and Behavioral Sciences

Keywords

Credibility, Multiidentity, Opinion, Reputation, Social media

Scopus ID

84988646706

Indexed in Scopus

yes

Open Access

no

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