A Study of Using Social Media, Text Mining and Sentiment Analysis Data in Forecasting

• Main Authors: HE, FANG-RU, 何芳如
• Other Authors: PAI, PING-FENG
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/4a6439

碩士 === 國立暨南國際大學 === 資訊管理學系 === 105 === In view of the high utilization rate of the social media nowadays, most people regard it as one of the channels to express their feelings, at the same time, have generated a large amount of useful information available for researchers to extract the sentiment and try to predict future values. However, most literature does not sufficiently focus on the pre-processing, sentiment analysis and post-processing of sentiment analysis. This study proposed a procedure for using a social media as data source and extracting the process of predicting the future values of sentiment. It is found that data pre-processing is complicated but cannot be avoided. This study proposed a procedure to reduce the scope of research and to facilitate the experimental comparison as a basis for the implementation.