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    Sentiment analysis in the Arabic language using machine learning

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    Citable Link(s)
    http://hdl.handle.net/10217/167091
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    Alotaibi_colostate_0053A_13058.pdf (1.373Mb)
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    Abstract
    Sentiment analysis has recently become one of the growing areas of research related to natural language processing and machine learning. Much opinion and sentiment about specific topics are available online, which allows several parties such as customers, companies and even governments, to explore these opinions. The first task is to classify the text in terms of whether or not it expresses opinion or factual information. Polarity classification is the second task, which distinguishes between polarities (positive, negative or neutral) that sentences may carry. The analysis of natural language ...
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    Author(s)
    Alotaibi, Saud Saleh

    Advisor(s)
    Anderson, Charles W.

    Date Issued
    2015
    Format
    born digital; doctoral dissertations
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    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Computer Science

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