Micro-blogging Sentiment Analysis Using Bayesian Classification Methods
نویسنده
چکیده
In this project I address the problem of accurately classifying the sentiment in posts from micro-blogs such as Twitter. As Twitter gains popularity, it becomes more useful to analyze trends and sentiment of its users towards various topics. Determining the general attitude of users towards a product or service, for example, can help a business measure overall consumer attitudes and customer satisfaction, and it can also provide a warning when there is a sudden change in sentiment.
منابع مشابه
Sentiment Analysis of Microblogs
In this project we attempt to perform sentiment based classification of Micro-blogs using Machine Learning techniques. Sentiment Analysis of short messages posted on Micro-blogging tools can be helpful in determining the current usability and acceptance of any target product or service. It can help in raising alarms in the wake of sudden shifts in user sentiments or attitude towards the service...
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