Sentiment Analysis for Social Media
نویسندگان
چکیده
The proposed system is able to collect useful information from the twitter website and efficiently perform sentiment analysis of tweets regarding the Smart phone war. The system uses efficient scoring system for predicting the user’s age. The user ‘gender is predicted using a well trained Naïve Bayes Classifier. Sentiment Classifier Model labels the tweet with a sentiment. This helps in comprehensively analyzing the data based on various consumer parameters such as location, gender and age group. Keywords— Sentiment Analysis, Social media, Twitter Streaming, Entity Extraction.
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تاریخ انتشار 2013