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Exploiting subjectivity analysis in blogs to improve political leaning categorization

Published: 20 July 2008 Publication History

Abstract

In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either liberal or conservative, based on its political leaning. Our subjectivity analysis based method is twofold: 1) we identify subjective sentences that contain at least two strong subjective clues based on the General Inquirer dictionary; 2) from subjective sentences identified, we extract opinion expressions and other features to build political leaning classifiers. Experimental results with a political blog corpus we built show that by using features from subjective sentences can significantly improve the classification performance. In addition, by extracting opinion expressions from subjective sentences, we are able to reveal opinions that are characteristic of a specific political leaning to some extent.

Reference

[1]
M. Jiang and S. Argamon. Finding political blogs and their political leanings. In Text Mining 2008, Workshop at the SIAM International Conference on Data Mining, April 2008.

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cover image ACM Conferences
SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
July 2008
934 pages
ISBN:9781605581644
DOI:10.1145/1390334
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 20 July 2008

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Author Tags

  1. political leaning categorization
  2. subjectivity analysis

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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  • (2022)Biased Online Media Analysis Using Machine LearningProceedings of International Conference on Computational Intelligence10.1007/978-981-19-2126-1_8(99-108)Online publication date: 4-Oct-2022
  • (2019)A Deep Learning Model Enhanced with Emojis for Sina-Microblog Sentiment Analysis2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)10.1109/IUCC/DSCI/SmartCNS.2019.00068(236-242)Online publication date: Oct-2019
  • (2018)What demographic attributes do our digital footprints reveal? A systematic reviewPLOS ONE10.1371/journal.pone.020711213:11(e0207112)Online publication date: 28-Nov-2018
  • (2017)An Efficient Way of Answering the Questions Asked on Social Sites by Understanding User Intent2017 International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT)10.1109/ICRTEECT.2017.22(159-163)Online publication date: Jul-2017
  • (2017)Predicting Question Subjectivity in E-commerce2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)10.1109/ICCUBEA.2017.8463975(1-6)Online publication date: Aug-2017
  • (2016)Understanding and Predicting Question Subjectivity in Social Question and AnsweringIEEE Transactions on Computational Social Systems10.1109/TCSS.2016.25644003:1(32-41)Online publication date: Mar-2016
  • (2014)Predicting Political Orientation of News Articles Based on User Behavior Analysis in Social NetworkIEICE Transactions on Information and Systems10.1587/transinf.E97.D.685E97.D:4(685-693)Online publication date: 2014
  • (2014)Partisan sharingProceedings of the second ACM conference on Online social networks10.1145/2660460.2660469(13-24)Online publication date: 1-Oct-2014
  • (2014)Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student communityNeurocomputing10.1016/j.neucom.2014.05.055144(138-150)Online publication date: 1-Nov-2014
  • (2013)Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexiconKnowledge-Based Systems10.1016/j.knosys.2012.08.00337(186-195)Online publication date: 1-Jan-2013
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