Adullam at SemEval-2017 Task 4: Sentiment Analyzer based on Lexicon Integrated Convolutional Neural Networks with Attention

Joosung Yoon, Kigon Lyu, Hyeoncheol Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We propose a sentiment analyzer for the prediction of document-level sentiments of English micro-blog messages from Twitter. The proposed method is based on lexicon integrated convolutional neural networks with attention (LCA). Its performance was evaluated using the datasets provided by SemEval competition (Task 4). The proposed sentiment analyzer obtained an average F1 of 55.2%, an average recall of 58.9% and an accuracy of 61.4%.

    Original languageEnglish
    Title of host publicationACL 2017 - 11th International Workshop on Semantic Evaluations, SemEval 2017, Proceedings of the Workshop
    PublisherAssociation for Computational Linguistics (ACL)
    Pages732-736
    Number of pages5
    ISBN (Electronic)9781945626555
    Publication statusPublished - 2017
    Event11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 - Vancouver, Canada
    Duration: 2017 Aug 32017 Aug 4

    Publication series

    NameProceedings of the Annual Meeting of the Association for Computational Linguistics
    ISSN (Print)0736-587X

    Conference

    Conference11th International Workshop on Semantic Evaluations, SemEval 2017, co-located with the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017
    Country/TerritoryCanada
    CityVancouver
    Period17/8/317/8/4

    Bibliographical note

    Funding Information:
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2017R1A2B4003558).

    Publisher Copyright:
    © 2017 Association for Computational Linguistics

    ASJC Scopus subject areas

    • Computer Science Applications
    • Linguistics and Language
    • Language and Linguistics

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