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A lexicon based method to search for extreme opinions

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  • Sattam Almatarneh
  • Pablo Gamallo

Abstract

Studies in sentiment analysis and opinion mining have been focused on many aspects related to opinions, namely polarity classification by making use of positive, negative or neutral values. However, most studies have overlooked the identification of extreme opinions (most negative and most positive opinions) in spite of their vast significance in many applications. We use an unsupervised approach to search for extreme opinions, which is based on the automatic construction of a new lexicon containing the most negative and most positive words.

Suggested Citation

  • Sattam Almatarneh & Pablo Gamallo, 2018. "A lexicon based method to search for extreme opinions," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
    • Handle: RePEc:plo:pone00:0197816
    DOI: 10.1371/journal.pone.0197816
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    References listed on IDEAS

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    1. Zheng Lin & Songbo Tan & Yue Liu & Xueqi Cheng & Xueke Xu, 2013. "Cross-Language Opinion Lexicon Extraction Using Mutual-Reinforcement Label Propagation," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-11, November.
    2. Muhammad Zubair Asghar & Aurangzeb Khan & Shakeel Ahmad & Imran Ali Khan & Fazal Masud Kundi, 2015. "A Unified Framework for Creating Domain Dependent Polarity Lexicons from User Generated Reviews," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-19, October.
    3. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
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    Cited by:

    1. Miwa, Kotaro, 2023. "Divergent opinions on social media," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 182-196.
    2. Alice Tontodimamma & Lara Fontanella & Stefano Anzani & Valerio Basile, 2023. "An Italian lexical resource for incivility detection in online discourses," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3019-3037, August.

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