Konferenzpaper | 2014 | Peer reviewed

Text Insights: Natural Language Analytics for Understanding Social Media Engagement

Autor(en)

Grimm, Frank ; Hartung, Matthias ; Cimiano, Philipp

Titel des Konferenzbandes

Proceedings of the SEMANTiCS 2014 Poster and Demo Track

Name der Konferenz

SEMANTiCS

URN

urn:nbn:de:0070-pub-26911685

URL

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

Weitere Details

Sprache

englisch

Darstellungsform

Text

Schlagwörter

natural language processing , social media , text analytics

Link zum Volltext (intern)

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

DDC

006

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.

Zitierstile

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.

In die Zwischenablage einfügen

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

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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).

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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Zitierstile

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.

In die Zwischenablage einfügen

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

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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.

In die Zwischenablage einfügen

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).

In die Zwischenablage einfügen

Download
RDF/XML-Format
JSON-LD-Format
Turtle-Format
N3-Format

AMA

APA (6th ed.)

Chicago

Frontiers

Harvard

IEEE

LNCS

MLA