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Contextual semantics for sentiment analysis of Twitter

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Saif, Hassan, He, Yulan, Fernandez, Miriam and Alani, Harith (2016) Contextual semantics for sentiment analysis of Twitter. Information Processing & Management, 52 (1). pp. 5-19. doi:10.1016/j.ipm.2015.01.005

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Official URL: http://dx.doi.org/10.1016/j.ipm.2015.01.005

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Abstract

Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments. Results show that our approach significantly outperforms the baselines in accuracy and F-measure for entity-level subjectivity (neutral vs. polar) and polarity (positive vs. negative) detections. For tweet-level sentiment detection, our approach performs better than the state-of-the-art SentiStrength by 4–5% in accuracy in two datasets, but falls marginally behind by 1% in F-measure in the third dataset.

Item Type: Journal Article
Subjects: H Social Sciences > HM Sociology
P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Twitter (Firm), Semantics, Internet users -- Attitudes
Journal or Publication Title: Information Processing & Management
Publisher: Elsevier
ISSN: 0306-4573
Official Date: January 2016
Dates:
DateEvent
January 2016Published
7 March 2015Available
28 January 2015Accepted
Volume: 52
Number: 1
Page Range: pp. 5-19
DOI: 10.1016/j.ipm.2015.01.005
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
611242European Research Councilhttp://viaf.org/viaf/130022607
611242Seventh Framework Programmehttp://dx.doi.org/10.13039/100011102
GJHZ20120613110641217Shenzhen Universityhttp://dx.doi.org/10.13039/501100009019

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