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We propose a sentiment classification system for Indonesian public policy tweet. The system consists of two subsystems: relevant tweet classification and tweet sentiment classification. Using Indonesian public policy tweet, we conduct the experiment to measure the performance for each subsystem and their combination. The purposes of the experiments are to find the best feature and algorithm for each...
Nowadays, classifying sentiment from social media has been a strategic thing since people can express their feeling about something in an easy way and short text. Mining opinion from social media has become important because people are usually honest with their feeling on something. In our research, we tried to identify the problems of classifying sentiment from Indonesian social media. We identified...
Nowadays, social media has grown rapidly. This growth makes people enjoy sharing their activities in social media, including complains about products or services from companies. This behaviour is a big opportunity for a company to know sentiments of customer toward their company. However, classifying sentiments from messages in social media has several challenges. First, the language used in social...
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