Analysing and evaluating the task of automatic tweet generation: Knowledge to business
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- 作者：Elena Lloret ; elloret@dlsi.ua.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Manuel Palomar mpalomar@dlsi.ua.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Natural language processing ; Text summarisation ; Natural language tweet generation ; User study ; Linguistic analysis ; Descriptive statistics
- 刊名：Computers in Industry
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：78
- 期：Complete
- 页码：3-15
- 全文大小：574 K
文摘
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A study on users’ perception of natural language tweet generation is conducted.
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Two relevant issues of tweets are considered: informativeness and interestingness.
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We show informative and interesting tweets are generated using text summarisation.
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We determine the linguistic features characterising good and bad tweets.
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Our findings can help companies improve their positioning and reputation on the Web.