A Study of Using Social Media, Text Mining and Sentiment Analysis Data in Forecasting
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 a...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
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Online Access: | http://ndltd.ncl.edu.tw/handle/4a6439 |
Summary: | 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.
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