Text Insights: Natural Language Analytics for Understanding Social Media Engagement

Grimm, Frank; Hartung, Matthias; Cimiano, Philipp

Text Insights: Natural Language Analytics for Understanding Social Media Engagement

Grimm F, Hartung M, Cimiano P (2014)
In: Proceedings of the SEMANTiCS 2014 Poster and Demo Track.

Konferenzbeitrag | Veröffentlicht | Englisch

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text-insights.pdf

URN

urn:nbn:de:0070-pub-26911685

Autor*in

Grimm, Frank^UniBi ; Hartung, Matthias^UniBi ; Cimiano, Philipp^UniBi

Einrichtung

Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > AG Semantische Datenbanken

Abstract / Bemerkung

We present Text Insights, an application for understanding factors of user engagement in Facebook pages. Providing analytics based on natural language processing, Text Insights is complementary to existing tools offering mainly numerical indicators of user engagement. Our system extracts keyphrases from page content in a linguistically motivated manner. Keyphrases are weighted according to their relevance as approximations of the most important topics in the community. We demonstrate that the system provides valuable insights for page owners interested in trend discovery, content evaluation and content planning.

Stichworte

natural language processing; text analytics; social media

Erscheinungsjahr

2014

Titel des Konferenzbandes

Proceedings of the SEMANTiCS 2014 Poster and Demo Track

Konferenz

SEMANTiCS

Konferenzort

Leipzig, Germany

Page URI

https://pub.uni-bielefeld.de/record/2691168

Zitieren

Grimm F, Hartung M, Cimiano P. Text Insights: Natural Language Analytics for Understanding Social Media Engagement. In: Proceedings of the SEMANTiCS 2014 Poster and Demo Track. 2014.

Grimm, F., Hartung, M., & Cimiano, P. (2014). Text Insights: Natural Language Analytics for Understanding Social Media Engagement. Proceedings of the SEMANTiCS 2014 Poster and Demo Track

Grimm, Frank, Hartung, Matthias, and Cimiano, Philipp. 2014. “Text Insights: Natural Language Analytics for Understanding Social Media Engagement”. In Proceedings of the SEMANTiCS 2014 Poster and Demo Track.

Grimm, F., Hartung, M., and Cimiano, P. (2014). “Text Insights: Natural Language Analytics for Understanding Social Media Engagement” in Proceedings of the SEMANTiCS 2014 Poster and Demo Track.

Grimm, F., Hartung, M., & Cimiano, P., 2014. Text Insights: Natural Language Analytics for Understanding Social Media Engagement. In Proceedings of the SEMANTiCS 2014 Poster and Demo Track.

F. Grimm, M. Hartung, and P. Cimiano, “Text Insights: Natural Language Analytics for Understanding Social Media Engagement”, Proceedings of the SEMANTiCS 2014 Poster and Demo Track, 2014.

Grimm, F., Hartung, M., Cimiano, P.: Text Insights: Natural Language Analytics for Understanding Social Media Engagement. Proceedings of the SEMANTiCS 2014 Poster and Demo Track. (2014).

Grimm, Frank, Hartung, Matthias, and Cimiano, Philipp. “Text Insights: Natural Language Analytics for Understanding Social Media Engagement”. Proceedings of the SEMANTiCS 2014 Poster and Demo Track. 2014.

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