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Mining opinion components from unstructured reviews: A review
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نویسنده
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Khan Khairullah ,Baharudin Baharum ,Khan Aurnagzeb ,Ullah Ashraf
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منبع
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journal of king saud university - computer and information sciences - 2014 - دوره : 26 - شماره : 3 - صفحه:258 -275
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چکیده
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Opinion mining is an interesting area of research because of its applications in various fields. collecting opinions of people about products and about social and political events and problems through the web is becoming increasingly popular every day. the opinions of users are helpful for the public and for stakeholders when making certain decisions. opinion mining is a way to retrieve information through search engines, web blogs and social networks. because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually. accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and web documents. this study presents a systematic literature survey regarding the computational techniques, models and algorithms for mining opinion components from unstructured reviews.
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کلیدواژه
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Opinion mining;Sentiment analysis;Information retrieval;Text mining;Web mining
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آدرس
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Universiti Teknologi, PETRONAS, Computer and Information Sciences Department, Malaysia, Universiti Teknologi, PETRONAS, Computer and Information Sciences Department, Malaysia, University of Science & Technology Bannu, Institute of Engineering and Computing Sciences, Pakistan, University of Science & Technology Bannu, Institute of Engineering and Computing Sciences, Pakistan
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Authors
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