Text Insights: Natural Language Analytics for Understanding Social Media Engagement
Frank Grimm, Matthias Härtung, Philipp Cimiano · PUB – Publications at Bielefeld University (Bielefeld University) · 2014
Abstract. 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 exist-ing tools offering mainly numerical indicators of user engagement. Our system extracts keyphrases from page content in a linguistically mo-tivated 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.