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Sentiment Intensity: Is It a Good Summary Indicator?

, , and . LTC, volume 6562 of Lecture Notes in Computer Science, page 203-212. Springer, (2009)

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Fact versus Opinion Questions Classification and Answering: Challenges and Keys., , , and . IC-AI, page 750-755. CSREA Press, (2009)Towards the Improvement of Automatic Emotion Pre-annotation with Polarity and Subjective Information., , , and . RANLP, page 157-163. INCOMA Ltd., (2017)EMOCause: An Easy-adaptable Approach to Extract Emotion Cause Contexts., , , , and . WASSA@ACL, page 153-160. Association for Computational Linguistics, (2011)EmotiBlog: A Model to Learn Subjective Information Detection in the New Textual Genres of the Web 2.0 -a Multilingual and Multi-Genre Approach., and . Proces. del Leng. Natural, (2012)Intensional Learning to Efficiently Build Up Automatically Annotated Emotion Corpora., , , and . IEEE Trans. Affect. Comput., 11 (2): 335-347 (2020)Cross-Topic Opinion Mining for Real-Time Human-Computer Interaction., , , and . NLPCS, page 13-22. INSTICC Press, (2009)Evaluating the Robustness of EmotiBlog for Sentiment Analysis and Opinion Mining., , , and . RANLP, page 521-526. RANLP 2011 Organising Committee, (2011)A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries., , , and . RANLP, page 18-22. RANLP 2009 Organising Committee / ACL, (2009)AQA: a multilingual Anaphora annotation scheme for Question Answering., , , , and . Proces. del Leng. Natural, (2009)Análisis de Sentimientos y Minería de Opiniones: el corpus EmotiBlog., , , and . Proces. del Leng. Natural, (2011)