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Document type:
Konferenzbeitrag / Conference Paper
Title:
Using Sentiment Analysis on Local Up-to-the-Minute News
Subtitle:
An Integrated Approach
Collection editors:
Damaševičius, Robertas; Mikašytė, Vilma
Title of conference publication:
Information and Software Technologies
Subtitle of conference publication:
23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings
Series title:
Communications in Computer and Information Science
Series volume:
756
Conference title:
International Conference on Information and Software Technologies (23., 2017, Druskininkai)
Conference title:
ICIST 2017
Venue:
Druskininkai, Lithuania
Year of conference:
2017
Date of conference beginning:
12.10.2017
Date of conference ending:
14.10.2017
Place of publication:
Cham
Publisher:
Springer
Year:
2017
Pages from - to:
528-538
Language:
Englisch
Abstract:
In this paper, we present a search solution that makes local news information easily accessible. In the era of fake news, we provide an approach for accessing news information through opinion mining. This enables users to view news on the same topics from different web sources. By applying sentiment analysis on social media posts, users can better understand how issues are captured and see people’s reactions. Therefore, we provide a local search service that first localizes news articles, then v... »
ISBN:
978-3-319-67641-8 978-3-319-67642-5
Open Access yes or no?:
Nein / No
BibTeX