Sentiment Classification of Movie Reviews using Levenshtein Distance
نویسندگان
چکیده
منابع مشابه
Sentiment Classification of Movie Reviews
The goal of sentiment classification is to determine whether or not an author likes what he is writing about . In this paper, we explore various ways to improve upon current techniques involving subjectivity filters and information gain based feature selection. We conclude that the subjectivity filter is useful in certain cases, but needs to be explored further.
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the area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers in the areas of natural language processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis process. In this research work, ...
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The problem of sentiment analysis requires a deeper understanding of the English language than previously established techniques in the field obtain. The Linguistic Tree Transformation Algorithm is introduced as a method to exploit the syntactical dependencies between words in a sentence and to disambiguate word senses. The algorithm is tested against the established Pang/Lee dataset and a new ...
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We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect of valence shifters on classifying the reviews. We examine three types of valence shifters: negations, intensifiers and diminishers. Negations are used to reverse the semantic polarity of a particular term, while inte...
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Text classification plays an large part in today's world, where the amount of information available is overwhelming. Although most text classification work is related to topical classification, the categorization of more subjective documents that depend more on style and the author's opinion is also important. Websites such as Amazon, IMDB, and Rotten Tomatoes rely on opinions and reviews to ke...
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ژورنال
عنوان ژورنال: Journal of Digital Contents Society
سال: 2013
ISSN: 1598-2009
DOI: 10.9728/dcs.2013.14.4.581