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Sentiment-Analysis for German Employer Reviews

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Business Information Systems Workshops (BIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 303))

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Abstract

This paper examines the possibilities of sentiment analysis performed on German employer reviews. In times of competition for highly skilled professionals on the German job market, there is a demand for the monitoring of social media and web sites providing employment related information. Compared to mainstream research this implies (1) a focus on German language, (2) employer reputation as a new domain, and (3) employer reviews as a new source possibly showing special linguistic characteristics. General approaches and tools for sentiment analysis and their application to German language are assessed in a first step. Then, selected approaches are evaluated regarding their analysis accuracy based on a data set containing German employer reviews. The results are used to conclude major obstacles, promising approaches and possible prospective research directions in the domain of employer reputation analysis.

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Notes

  1. 1.

    https://www.bitkom.org/Presse/Pressegrafik/2016/November/Bitkom-Charts-IT-Fachkraefte-14-11-2016-final.pdf.

  2. 2.

    http://epceurope.eu/wp-content/uploads/2015/09/epc-trends-social-media.pdf.

  3. 3.

    www.kununu.com.

  4. 4.

    www.jobvoting.de.

  5. 5.

    www.glassdoor.com.

  6. 6.

    http://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/.

  7. 7.

    https://www.statista.com/statistics/266808/the-most-spoken-languages-worldwide/.

  8. 8.

    http://liwc.wpengine.com/.

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Correspondence to Birger Lantow .

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Abel, J., Klohs, K., Lehmann, H., Lantow, B. (2017). Sentiment-Analysis for German Employer Reviews. In: Abramowicz, W. (eds) Business Information Systems Workshops. BIS 2017. Lecture Notes in Business Information Processing, vol 303. Springer, Cham. https://doi.org/10.1007/978-3-319-69023-0_4

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