主催: The Japanese Society for Artificial Intelligence
会議名: 2018年度人工知能学会全国大会(第32回)
回次: 32
開催地: 鹿児島県鹿児島市 城山ホテル鹿児島
開催日: 2018/06/05 - 2018/06/08
In this paper, we introduce our preliminary analysis of emoticons used on Weibo, Chinese microblog. By performing a polarity annotation with a new humorous type added, we have confirmed that 23 emoticons can be considered more as humorous than positive or negative. We also discussed some possible related problems which might occur during any social media sentiment analysis performed on Chinese language. We believe that combining machine learning, sentiment lexicons and paralinguistic elements as emoticons can be expected to achieve better performance in the future.