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  • Sentiment Analysis in Tourism: Capitalizing on Big Data

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    AlaeiPUB2798.pdf (290.0Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Alaei, Ali Reza
    Becken, Susanne
    Stantic, Bela
    Griffith University Author(s)
    Stantic, Bela
    Becken, Susanne
    Year published
    2019
    Metadata
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    Abstract
    Advances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process ...
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    Advances in technology have fundamentally changed how information is produced and consumed by all actors involved in tourism. Tourists can now access different sources of information, and they can generate their own content and share their views and experiences. Tourism content shared through social media has become a very influential information source that impacts tourism in terms of both reputation and performance. However, the volume of data on the Internet has reached a level that makes manual processing almost impossible, demanding new analytical approaches. Sentiment analysis is rapidly emerging as an automated process of examining semantic relationships and meaning in reviews. In this article, different sentiment analysis approaches applied in tourism are reviewed and assessed in terms of the datasets used and performances on key evaluation metrics. The article concludes by outlining future research avenues to further advance sentiment analysis in tourism as part of a broader Big Data approach
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    Journal Title
    Journal of Travel Research
    DOI
    https://doi.org/10.1177/0047287517747753
    Copyright Statement
    Alaei et al, Sentiment Analysis in Tourism: Capitalizing on Big Data, Journal of Travel Research, pp.1-17, 2017. Copyright 2017 The Authors. Reprinted by permission of SAGE Publications.
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Pattern recognition
    Data mining and knowledge discovery
    Communication technology and digital media studies
    Publication URI
    http://hdl.handle.net/10072/369680
    Collection
    • Journal articles

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