以社群媒體、文字探勘與情緒分析資料於預測之探討

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

何芳如(Fang-Ru He)

指導教授 ： 白炳豐

國立暨南國際大學/管理學院/資訊管理學系/碩士(2017年)

摘要

鑒於時下社群網路的高使用率，多數人將其作為抒發心情的管道之一，同時，已經產生大量可能有用的資料提供給研究者提取情緒並嘗試預測未來值。但現有文獻中並沒有太多著墨在資料前處理、情緒分析與情緒分析後處理的部分。
本研究透過多篇文獻提出一個方法，使用社群網路作為資料來源並提取情緒預測未來值之流程。發現資料前處理有繁瑣卻無法避免的問題之外，也提出可縮小研究範疇以利學習作為實作建議。

關鍵字

社群媒體 ； 情緒分析 ； 預測

並列摘要

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.

並列關鍵字

social media ； sentiment analysis ； forecast

參考文獻

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