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- Autorinnen/Autoren:
- Kersting, Joschka; Geierhos, Michaela
- Dokumenttyp:
- Konferenzbeitrag / Conference Paper
- Titel:
- Using Sentiment Analysis on Local Up-to-the-Minute News
- Untertitel:
- An Integrated Approach
- Herausgebende Sammelband:
- Damaševičius, Robertas; Mikašytė, Vilma
- Titel Konferenzpublikation:
- Information and Software Technologies
- Untertitel Konferenzpublikation:
- 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings
- Serie/Reihe:
- Communications in Computer and Information Science
- Band:
- 756
- Konferenztitel:
- International Conference on Information and Software Technologies (23., 2017, Druskininkai)
- Konferenztitel:
- ICIST 2017
- Tagungsort:
- Druskininkai, Lithuania
- Jahr der Konferenz:
- 2017
- Datum Beginn der Konferenz:
- 12.10.2017
- Datum Ende der Konferenz:
- 14.10.2017
- Verlagsort:
- Cham
- Verlag:
- Springer
- Jahr:
- 2017
- Seitenbereich:
- 528-538
- Sprache:
- 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
- DOI:
- 10.1007/978-3-319-67642-5_44
- URL zum Inhalt:
- https://doi.org/10.1007/978-3-319-67642-5_44
- Open Access:
- Nein / No
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