Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach
J. Kersting, M. Geierhos, in: R. Damaševičius, V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, Springer, Cham, Switzerland, 2017, pp. 528–538.
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Kersting & Geierhos (2017), Kersting2017.pdf
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| English
Book Editor
Damaševičius, Robertas;
Mikašytė, Vilma
Department
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 visualizes their occurrence according to the frequency of mentioned topics on a heatmap and even shows the sentiment score for each text.
Publishing Year
Book Title
Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings
Series Title / Volume
Communications in Computer and Information Science
Volume
756
Page
528-538
Conference
23rd International Conference on Information and Software Technologies (ICIST 2017)
Conference Location
Druskininkai, Lithuania
Conference Date
2017-10-12 – 2017-10-14
ISBN
LibreCat-ID
Cite this
Kersting J, Geierhos M. Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In: Damaševičius R, Mikašytė V, eds. Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings. Vol 756. Communications in Computer and Information Science. Cham, Switzerland: Springer; 2017:528-538. doi:10.1007/978-3-319-67642-5
Kersting, J., & Geierhos, M. (2017). Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In R. Damaševičius & V. Mikašytė (Eds.), Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings (Vol. 756, pp. 528–538). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-67642-5
@inbook{Kersting_Geierhos_2017, place={Cham, Switzerland}, series={Communications in Computer and Information Science}, title={Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach}, volume={756}, DOI={10.1007/978-3-319-67642-5}, booktitle={Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings}, publisher={Springer}, author={Kersting, Joschka and Geierhos, Michaela}, editor={Damaševičius, Robertas and Mikašytė, VilmaEditors}, year={2017}, pages={528–538}, collection={Communications in Computer and Information Science} }
Kersting, Joschka, and Michaela Geierhos. “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach.” In Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Vilma Mikašytė, 756:528–38. Communications in Computer and Information Science. Cham, Switzerland: Springer, 2017. https://doi.org/10.1007/978-3-319-67642-5.
J. Kersting and M. Geierhos, “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach,” in Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, vol. 756, R. Damaševičius and V. Mikašytė, Eds. Cham, Switzerland: Springer, 2017, pp. 528–538.
Kersting, Joschka, and Michaela Geierhos. “Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach.” Information and Software Technologies: 23rd International Conference, ICIST 2017, Druskininkai, Lithuania, October 12–14, 2017, Proceedings, edited by Robertas Damaševičius and Vilma Mikašytė, vol. 756, Springer, 2017, pp. 528–38, doi:10.1007/978-3-319-67642-5.
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