Scope of negation detection in sentiment analysis

M. Dadvar, C. Hauff, Franciska M.G. de Jong

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    Abstract

    An important part of information-gathering behaviour has always been to find out what other people think and whether they have favourable (positive) or unfavourable (negative) opinions about the subject. This survey studies the role of negation in an opinion-oriented information-seeking system. We investigate the problem of determining the polarity of sentiments in movie reviews when negation words, such as not and hardly occur in the sentences. We examine how different negation scopes (window sizes) affect the classification accuracy. We used term frequencies to evaluate the discrimination capacity of our system with different window sizes. The results show that there is no significant difference in classification accuracy when different window sizes have been applied. However, negation detection helped to identify more opinion or sentiment carrying expressions. We conclude that traditional negation detection methods are inadequate for the task of sentiment analysis in this domain and that progress is to be made by exploiting information about how opinions are expressed implicitly.
    Original languageUndefined
    Title of host publicationProceedings of the Dutch-Belgian Information Retrieval Workshop, DIR 2011
    Place of PublicationAmsterdam
    PublisherUniversity of Amsterdam
    Pages16-20
    Number of pages4
    ISBN (Print)not assigned
    Publication statusPublished - 4 Feb 2011
    Event11th Dutch-Belgian Information Retrieval Workshop, DIR 2011 - Amsterdam, Netherlands
    Duration: 4 Feb 20114 Feb 2011
    Conference number: 11

    Publication series

    Name
    PublisherUniversity of Amsterdam

    Workshop

    Workshop11th Dutch-Belgian Information Retrieval Workshop, DIR 2011
    Abbreviated titleDIR
    CountryNetherlands
    CityAmsterdam
    Period4/02/114/02/11

    Keywords

    • METIS-277550
    • IR-76024
    • Scope Modelling
    • Human Factors
    • Information Systems
    • Movie Review Analysis
    • EC Grant Agreement nr.: FP7/231507
    • EWI-19631
    • Opinion Mining
    • Languages
    • Reliability
    • HMI-MR: MULTIMEDIA RETRIEVAL
    • Experimentation

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