IWD Based Feature Selection Algorithm for Sentiment Analysis
نویسندگان
چکیده
منابع مشابه
Fast SFFS-Based Algorithm for Feature Selection in Biomedical Datasets
Biomedical datasets usually include a large number of features relative to the number of samples. However, some data dimensions may be less relevant or even irrelevant to the output class. Selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. To this end, this paper presents a hybrid method of filter and wr...
متن کاملFeature Selection in Sentiment Analysis
In this article, we propose a new method for feature selection and sentiment classification. To identify the most salient features belonging to the specific categories, we use the Z score measure. Based on this score, we can identify confident features and use the Information Gain (IG) measure to obtain scores for terms appearing in the neighborhood of the confident features. Based on this info...
متن کاملfast sffs-based algorithm for feature selection in biomedical datasets
biomedical datasets usually include a large number of features relative to the number of samples. however, some data dimensions may be less relevant or even irrelevant to the output class. selection of an optimal subset of features is critical, not only to reduce the processing cost but also to improve the classification results. to this end, this paper presents a hybrid method of filter and wr...
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With the enormous growth of digital content in internet, various types of online reviews such as product and movie reviews present a wealth of subjective information that can be very helpful for potential users. Sentiment analysis aims to use automated tools to detect subjective information from reviews. Up to now as there are few researches conducted on feature selection in sentiment analysis,...
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ژورنال
عنوان ژورنال: Elektronika ir Elektrotechnika
سال: 2019
ISSN: 2029-5731,1392-1215
DOI: 10.5755/j01.eie.25.1.22736