Can Emoticons Be Used to Predict Sentiment?

Journal of Data Science

article

Keenen Cates¹  Zeyu Zhang¹  Pengcheng Xiao¹  Calvin Dailey¹ 

[1] Department of Mathematics, University of Evansville 1800 Lincoln Ave

关键词: Sentiment analysis;    Emoticons;    Natural Language Processing;    Machine Learning.;   

DOI  :  10.6339/JDS.201804_16(2).0007

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

Getting a machine to understand the meaning of language is a largely important goal to a wide variety of fields, from advertising to entertainment. In this work, we focus on Youtube comments from the top twohundred trending videos as a source of user text data. Previous Sentiment Analysis Models focus on using hand-labelled data or predetermined lexicon-s.Our goal is to train a model to label comment sentiment with emoticons by training on other user-generated comments containing emoticons. Naive Bayes and Recurrent Neural Network models are both investigated and im- plemented in this study, and the validation accuracies for Naive Bayes model and Recurrent Neural Network model are found to be .548 and .812.

【 授权许可】

CC BY