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A blog emotion corpus for emotional expression analysis in Chinese

Published: 01 October 2010 Publication History

Abstract

Weblogs are increasingly popular modes of communication and they are frequently used as mediums for emotional expression in the ever changing online world. This work uses blogs as object and data source for Chinese emotional expression analysis. First, a textual emotional expression space model is described, and based on this model, a relatively fine-grained annotation scheme is proposed for manual annotation of an emotion corpus. In document and paragraph levels, emotion category, emotion intensity, topic word and topic sentence are annotated. In sentence level, emotion category, emotion intensity, emotional keyword and phrase, degree word, negative word, conjunction, rhetoric, punctuation, objective or subjective, and emotion polarity are annotated. Then, using this corpus, we explore these linguistic expressions that indicate emotion in Chinese, and present a detailed data analysis on them, involving mixed emotions, independent emotion, emotion transfer, and analysis on words and rhetorics for emotional expression.

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Published In

cover image Computer Speech and Language
Computer Speech and Language  Volume 24, Issue 4
October, 2010
229 pages

Publisher

Academic Press Ltd.

United Kingdom

Publication History

Published: 01 October 2010

Author Tags

  1. Corpus annotation
  2. Emotion analysis
  3. Natural language processing
  4. Weblogs

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  • (2023)Neuro or Symbolic? Fine-Tuned Transformer With Unsupervised LDA Topic Clustering for Text Sentiment AnalysisIEEE Transactions on Affective Computing10.1109/TAFFC.2023.327931815:2(493-507)Online publication date: 23-May-2023
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  • (2023)Active Learning With Complementary Sampling for Instructing Class-Biased Multi-Label Text Emotion ClassificationIEEE Transactions on Affective Computing10.1109/TAFFC.2020.303840114:1(523-536)Online publication date: 1-Jan-2023
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