Title page for etd-0801115-163511


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URN etd-0801115-163511
Author Ping-shun Wu
Author's Email Address No Public.
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Department Information Management
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Lexicon-Based Sentiment Analysis Method on Cloud Platform
Date of Defense 2015-07-15
Page Count 103
Keyword
  • Sentiment Analysis
  • Hadoop
  • Map Reduce
  • NLP
  • Cloud computing
  • Text mining
  • Abstract With the widespread of mobile computer devices and the fast development of the internet technologies, people are more convenient to express their opinions, forming user generate content (UGC). Using text mining and sentiment analysis techniques on the analysis of UGC allows enterprises and organizations to quickly identify people‚Äôs opinions. However, the huge amount of UGC data also create challenges on how to efficiently and effectively analyze the data in a timely manner.
    In this thesis, we propose an approach that utilizes Cloud techniques, namely Map Reduce on Hadoop platform, to tackle this problem. The experimental results using real data set shows the near linear scalability of the proposed approach.
    Advisory Committee
  • Chin-Ping Wei - chair
  • Yihuang Kang - co-chair
  • San-Yia Hwang - advisor
  • Files
  • etd-0801115-163511.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2015-09-01

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