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Applying sentiment analysis for tweets linking to scientific papers

Name: Applying sentiment analysis for tweets linking to scientific papers
Brand: Grin Publishing
SKU: 02892330
Price: 15308 HUF
Availability: InStock
Author: Natalie Friedrich
ISBN: 9783668112711

Natalie Friedrich

Language

English

Book Paperback

Libristo code: 02892330

Publishers Grin Publishing, December 2015

Bachelor Thesis from the year 2015 in the subject Information Management, grade: 1,3, University of... Full description

Libristo code: 02892330

102 b

15 308 Ft

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Bachelor Thesis from the year 2015 in the subject Information Management, grade: 1,3, University of Dusseldorf "Heinrich Heine" (Institut für Sprache und Information), language: English, abstract: This work analyzes tweets linking to scientific papers to find out if the tweets are positive, or negative or do not express an opinion. This will inform the meaning of tweets as a measure of impact in the context of altmetrics. The following research questions are examined:§§- In how far can sentiment analysis be used to detect positive or negative statements towards scientific papers expressed on Twitter?§- Do tweets linking to scientific papers express positive or negative opinions? How do sentiments differ by academic discipline?§- How do results affect the meaning of tweets to scientific papers as an altmetric indicator?