Personal Ontology–based Sentiment Analysis System for Mobile Devices
نویسندگان
چکیده
The increasing proliferation of mobile devices has resulted in people being able to express their opinions and sentiments more easily. To obtain people’s preferences and evaluations about products and services, sentiments expressed over Websites and social network services need to be analyzed. However, due to the diversity of the media and the short lengths of messages, the sentiment data is fragmented and distributed. Nowadays, products are equipped with numerous functions, so product features are diverse and complex. In order to solve the sentiment data fragmentation problem and the complexity of the feature, we propose an ontology-based sentiment analysis system for mobile devices.
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تاریخ انتشار 2013