Presentation | 2014-01-24 A study on automatic classification method for Twitter "Big Data" Akari YONEKAWA, Kenichi NAGAOKA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is classifying tweets automatically and visualizing the results. Specifically, this research attempts to classify automatically sentiments on specific subject to positive or negative, and visualize the results to research the public opinion. To begin with, we build the supervised database, which is consisted by frequency of morphemes and consecutive morphemes, in a positive, negative or other tweet, from random sampled tweets classified manually. By depending on this supervised database, tweets are classified to positive, negative or others. The result of our experiment classifying general tweets shows accurate classification to a certain degree, especially when classifying to positive or negative without others. On the other hand, it is clarified that for specific subject, difficult examples have been seen in case that tweets include no any words which directly show its sentiment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Social media / Information visualization / Twitter / Morphological analysis / Big data |
Paper # | IN2013-132 |
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Committee | IN |
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Conference Date | 2014/1/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Information Networks (IN) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study on automatic classification method for Twitter "Big Data" |
Sub Title (in English) | |
Keyword(1) | Social media |
Keyword(2) | Information visualization |
Keyword(3) | |
Keyword(4) | Morphological analysis |
Keyword(5) | Big data |
1st Author's Name | Akari YONEKAWA |
1st Author's Affiliation | Ishikawa National College of Technology() |
2nd Author's Name | Kenichi NAGAOKA |
2nd Author's Affiliation | Ishikawa National College of Technology |
Date | 2014-01-24 |
Paper # | IN2013-132 |
Volume (vol) | vol.113 |
Number (no) | 389 |
Page | pp.pp.- |
#Pages | 5 |
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