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article

Learning Subjective Language

Authors:

Theresa Wilson,

Melanie MartinAuthors Info & Claims

Computational Linguistics, Volume 30, Issue 3

Pages 277 - 308

https://doi.org/10.1162/0891201041850885

Published: 01 September 2004 Publication History

Abstract

Subjectivity in natural language refers to aspects of language used to express opinions, evaluations, and speculations. There are numerous natural language processing applications for which subjectivity analysis is relevant, including information extraction and text categorization. The goal of this work is learning subjective language from corpora. Clues of subjectivity are generated and tested, including low-frequency words, collocations, and adjectives and verbs identified using distributional similarity. The features are also examined working together in concert. The features, generated from different data sets using different procedures, exhibit consistency in performance in that they all do better and worse on the same data sets. In addition, this article shows that the density of subjectivity clues in the surrounding context strongly affects how likely it is that a word is subjective, and it provides the results of an annotation study assessing the subjectivity of sentences with high-density features. Finally, the clues are used to perform opinion piece recognition (a type of text categorization and genre detection) to demonstrate the utility of the knowledge acquired in this article.

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Index Terms

Learning Subjective Language
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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cover image Computational Linguistics

Computational Linguistics Volume 30, Issue 3

September 2004

145 pages

ISSN:0891-2017

EISSN:1530-9312

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MIT Press

Cambridge, MA, United States

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Published: 01 September 2004

Published in COLI Volume 30, Issue 3

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https://dl.acm.org/doi/10.1007/978-981-97-5501-1_23
Catelli RPelosi SComito CPizzuti CEsposito M(2023)Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in ItalyComputers in Biology and Medicine10.1016/j.compbiomed.2023.106876158:COnline publication date: 1-May-2023
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