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Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach

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Book cover Information and Software Technologies (ICIST 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 756))

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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.

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Notes

  1. 1.

    http://www.twitter.com, accessed 2017-04-11.

  2. 2.

    http://www.googis.de/paderborn/?es=C47S434, accessed 2017-04-11.

  3. 3.

    http://www.google.de, accessed 2017-03-07.

  4. 4.

    http://www.google.de/maps, accessed 2017-03-07.

  5. 5.

    http://www.web.de, accessed 2017-04-10.

  6. 6.

    Singular and plural are included.

  7. 7.

    http://wortschatz.uni-leipzig.de/de/download, accessed 2017-04-11.

  8. 8.

    http://gate.ac.uk/, accessed 2017-04-11.

  9. 9.

    http://www.ibm.com/watson/alchemy-api.html, accessed 2017-05-17.

  10. 10.

    http://www.google.de/intl/de/streetview/, accessed 2017-04-11.

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Author information

Authors and Affiliations

  1. Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Joschka Kersting & Michaela Geierhos

Authors
  1. Joschka Kersting
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  2. Michaela Geierhos
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Correspondence to Joschka Kersting .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Mikašytė

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Kersting, J., Geierhos, M. (2017). Using Sentiment Analysis on Local Up-to-the-Minute News: An Integrated Approach. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_44

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  • DOI: https://doi.org/10.1007/978-3-319-67642-5_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67641-8

  • Online ISBN: 978-3-319-67642-5

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