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Associating Intent with Sentiment in Weblogs

  • Mark KröllEmail author
  • Markus Strohmaier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9103)

Abstract

People willingly provide more and more information about themselves on social media platforms. This personal information about users’ emotions (sentiment) or goals (intent) is particularly valuable, for instance, for monitoring tools. So far, sentiment and intent analysis were conducted separately. Yet, both aspects can complement each other thereby informing processes such as explanation and reasoning. In this paper, we investigate the relation between intent and sentiment in weblogs. We therefore extract ~90,000 human goal instances from the ICWSM 2009 Spinn3r dataset and assign respective sentiments. Our results indicate that associating intent with sentiment represents a valuable addition to research areas such as text analytics and text understanding.

Keywords

Human goals Intent analysis Sentiment Weblogs 

Notes

Acknowledgments

Thanks to Daniel Lamprecht and Johannes Liegl for participating in this work. This work is funded by the KIRAS program of the Austrian Research Promotion Agency (FFG) (project number 840824). The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Ministry of Transport, Innovation and Technology, the Austrian Ministry of Economics and Labor and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Know-Center GmbHGrazAustria
  2. 2.GESIS Leibniz Institute for the Social SciencesCologneGermany

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