Title page for etd-0113117-150008


[Back to Results | New Search]

URN etd-0113117-150008
Author Yu-Ching Huang
Author's Email Address No Public.
Statistics This thesis had been viewed 5579 times. Download 169 times.
Department Information Management
Year 2016
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title A Study of Emotional Text Mining
Date of Defense 2017-01-23
Page Count 70
Keyword
  • Sentiment Analysis
  • Text Mining
  • Natural Language Processing
  • Latent Semantic Analysis
  • Abstract Readers who touched by the texts in various novels always exhibit mood swings. The choice of words made by different authors makes the writing style of the article unique. Some of the authors may even become a role model leading the contemporary trend. However, the amount of emotional words, its usage frequency and intensity may also affect every reader’s mind regardless of the plot. As for an author, there’s slightly difference between various types of literature for how to touch readers and make their piece of work a best-selling book.
    Therefore, we are trying to analysis Charles Dickens’ fiction《Great Expectations》 for understanding the influence of emotional words, its usage frequency and intensity for readers based on calculating Plutchik’s eight basic emotions with grammar and observing the change of emotion flow in chapter, which is much precise on explaining emotional changes than simple calculation with positive and negative scores.
    Advisory Committee
  • Yuh-Jiuan Tsay - chair
  • Bing-Chiang Jeng - co-chair
  • Wei-Po Lee - advisor
  • Files
  • etd-0113117-150008.pdf
  • Indicate in-campus at 3 year and off-campus access at 3 year.
    Date of Submission 2017-02-13

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys