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The Role of Inferences in Opinion Mining : Applications to Chinese Social Media ; Le rôle des inférences pour la fouille d'opinion : applications aux réseaux sociaux en langue chinoise
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In: https://tel.archives-ouvertes.fr/tel-03469568 ; Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0016⟩ (2021)
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The Role of Inferences in Opinion Mining : Applications to Chinese Social Media ; Le rôle des inférences pour la fouille d'opinion : applications aux réseaux sociaux en langue chinoise
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In: https://tel.archives-ouvertes.fr/tel-03469568 ; Linguistique. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0016⟩ (2021)
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Inference Annotation of a Chinese Corpus for Opinion Mining
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In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
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Inference Annotation of a Chinese Corpus for Opinion Mining
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In: LREC ; https://hal-inalco.archives-ouvertes.fr/hal-02507170 ; LREC, May 2020, Marseille, France (2020)
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Abstract:
International audience ; Polarity classification (positive, negative or neutral opinion detection) is well developed in the field of opinion mining. However, existing tools, which perform with high accuracy on short sentences and explicit expressions, have limited success interpreting narrative phrases and inference contexts. In this article, we will discuss an important aspect of opinion mining: inference. We will give our definition of inference, classify different types, provide an annotation framework and analyze the annotation results. While inferences are often studied in the field of Natural-language understanding (NLU), we propose to examine inference as it relates to opinion mining. Firstly, based on linguistic analysis, we clarify what kind of sentence contains an inference. We define five types of inference: logical inference, pragmatic inference, lexical inference, enunciative inference and discursive inference. Second, we explain our annotation framework which includes both inference detection and opinion mining. In short, this manual annotation determines whether or not a target contains an inference. If so, we then define inference type, polarity and topic. Using the results of this annotation, we observed several correlation relations which will be used to determine distinctive features for automatic inference classification in further research. We also demonstrate the results of three preliminary classification experiments.
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Keyword:
[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Inferences; Natural Language Processing; Opinion Mining
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URL: https://hal-inalco.archives-ouvertes.fr/hal-02507170
https://hal-inalco.archives-ouvertes.fr/hal-02507170/document
https://hal-inalco.archives-ouvertes.fr/hal-02507170/file/Inference_Annotation_of_a_Chinese_Corpus_for_Opinion_Mining%20%281%29.pdf
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Analyse des inférences pour la fouille d'opinion en chinois
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In: CORIA-TALN-RJC ; https://hal-inalco.archives-ouvertes.fr/hal-02507182 ; CORIA-TALN-RJC, May 2018, Rennes, France (2018)
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Analyse des inférences pour la fouille d’opinion en chinois ...
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Analyse des inférences pour la fouille d'opinion en chinois
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In: CORIA-TALN-RJC ; https://hal-inalco.archives-ouvertes.fr/hal-02507182 ; CORIA-TALN-RJC, May 2018, Rennes, France (2018)
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