Predicting the Sentimental Polarity of Posts on Social Media Based on Syntactic Similarity

碩士 === 國立高雄應用科技大學 === 資訊工程系 === 106 === With the rapid development of the worldwide computer networks, the internet has long been deeply rooted in daily life. For instance, after the emergence of social media, more and more people chose to express their personal feelings and opinions online. So...

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Bibliographic Details
Main Authors: CHENG,JOU-NING, 鄭柔寧
Other Authors: CHANG, TAO-HSING
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/jd2qxk