Sentiment analysis with Twitter
نویسندگان
چکیده
منابع مشابه
Twitter Sentiment Analysis
2012 CERTIFICATE It is certified that the contents and form of thesis entitled " Twitter Sentiment Analysis " submitted by Afroze Ibrahim Baqapuri (NUST-BEE-310) have been found satisfactory for the requirement of the degree.
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With the rise of social networking epoch, there has been a surge of user generated content. Microblogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time microblogging service, Twitter, where users post real time reactions to and op...
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This paper presents the Tweetsted system implemented for the SemEval 2013 task on Sentiment Analysis in Twitter. In particular, we participated in Task B on Message Polarity Classification in the Constrained setting. The approach is based on the exploitation of various resources such as SentiWordNet and LIWC. Official results show that our approach yields a F-score of 0.5976 for Twitter message...
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In this paper, we explore the application of Recursive Neural Networks on the sentiment analysis task with tweets. Tweets, being a form of communication that has been largely infused with symbols and short-hands, are especially challenging as a sentiment analysis task. In this project, we experiment with different genres of neural net and analyze how models suit the data set in which the nature...
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We examine sentiment analysis on Twitter data. The contributions of this paper are: (1) We introduce POS-specific prior polarity features. (2) We explore the use of a tree kernel to obviate the need for tedious feature engineering. The new features (in conjunction with previously proposed features) and the tree kernel perform approximately at the same level, both outperforming the state-of-the-...
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ژورنال
عنوان ژورنال: Pamukkale University Journal of Engineering Sciences
سال: 2016
ISSN: 1300-7009,2147-5881
DOI: 10.5505/pajes.2016.37268