Results 211 to 220 of about 17,106 (265)
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Imbalanced sentiment classification
Proceedings of the 20th ACM international conference on Information and knowledge management, 2011Sentiment classification has undergone significant development in recent years. However, most existing studies assume the balance between negative and positive samples, which may not be true in reality. In this paper, we investigate imbalanced sentiment classification instead.
Shoushan Li +4 more
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Fuzzy Sentiment Membership Determining for Sentiment Classification
2014 IEEE International Conference on Data Mining Workshop, 2014Traditional support vector machine treats all samples using the same weight. Therefore it is very sensitive to noisy data. While the fuzzy support vector machine assigns lower weights to the samples which make small contributions to classification, thus it is beneficial to reduce the effects of noisy and unimportant data on the classification accuracy ...
Chuanjun Zhao, Suge Wang, Deyu Li 0001
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Microblog sentiment classification with heterogeneous sentiment knowledge
Information Sciences, 2016Microblogging services, such as Twitter, are very popular for information release and dissemination. Analyzing the sentiments in massive microblog messages is useful for sensing the public's opinions on various topics, which has wide applications in both academic and industrial fields.
Fangzhao Wu +3 more
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Sentiment Lexicon Enhanced Neural Sentiment Classification
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019Sentiment classification is an important task in the sentiment analysis field. Many deep learning based sentiment classification methods have been proposed in recent years. However, these methods usually rely on massive labeled texts to train sentiment classifiers, which are expensive and time-consuming to annotate. Luckily, many high-quality sentiment
Chuhan Wu +4 more
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Unsupervised Twitter Sentiment Classification
Proceedings of the International Conference on Knowledge Management and Information Sharing, 2014Sentiment classification is not a new topic but data sources having different characteristics require customized methods to exploit the hidden existing semantic while minimizing the noise and irrelevant information. Twitter represents a huge pool of data having specific features.
Mihaela Dînsoreanu, Andrei Bacu
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A Discriminative Approach to Sentiment Classification
Neural Processing Letters, 2019Due to the explosive growth of user-generated contents, understanding opinions (such as reviews on products) generated by Internet users is important for optimizing business decision. To achieve such understanding, this paper investigates a discriminative approach to classifying opinions according to sentiments.
Guangmin Li +3 more
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An Approach for Sentiment Classification of Music
Proceedings of the 18th International Conference on Enterprise Information Systems, 2016In recent years, the music recommendation systems and dynamic generation of playlists have become extremely promising research areas. Thanks to the widespread use of the Internet, users can store a consistent set of music data and use them in the everyday context thanks to portable music players.
COLACE, Francesco, CASABURI, LUCA
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Sentiment classification of Hinglish text
2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016In order to determine the sentiment polarity of Hinglish text written in Roman script, we experimented with different combinations of feature selection methods and a host of classifiers using term frequency-inverse document frequency feature representation. We carried out in total 840 experiments in order to determine the best classifiers for sentiment
Kumar Ravi 0001, Vadlamani Ravi
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Polarity Classification of Arabic Sentiments
International Journal of Information Technology and Web Engineering, 2016Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a certain issue.
Mohammed Al-Kabi +2 more
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Sentiment classification of tweets using hierarchical classification
2016 IEEE International Conference on Communications (ICC), 2016This paper addresses the problem of sentiment classification of short messages on microblogging platforms. We apply machine learning and pattern recognition techniques to design and implement a classification system for microblog messages assigning them into one of three classes: positive, negative or neutral.
Afroze Ibrahim Baqapuri +4 more
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