The Study of Social Media, Deep Learning and Sentiment Analysis for the Methods of Personalized Recommendation
博士 === 朝陽科技大學 === 資訊管理系 === 106 === Social media and the development of web 2.0 encourage the user to participate more interactively in social networks. In the social network, the relationships may be identified by the user posts and interactions. Using this data, the system can make recommendations...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/35xd43 |