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        On Sentiment Classification and Aspect Extraction in Online Product Reviews

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        Thesis Mark B..pdf (2.811Mb)
        Publication date
        2017
        Author
        Berger, M.A.
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        Summary
        There are multiple possible applications for sentiment analysis and aspect extraction in the online reviews field. To successfully develop those applications, both the topics need to be researched. My research goals follow up on the project goals and can be formulated as follows: • Exploration of well-performing sentiment classification algorithms and aspect extraction model on small online product reviews. • Exploring a possible way to combine those two systems in the field of small online product reviews This thesis will try to address this goals by means of comprehensive, step by step explanation of the system I have created.
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        https://studenttheses.uu.nl/handle/20.500.12932/27336
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