python-webis: Python wrapper for the webis Twitter sentiment evaluation ensemble

Research output: Non-textual formSoftwareScientific

Abstract

This is a Python wrapper around the Java implementation of a Twitter sentiment evaluation framework presented by Hagen et al. (2015). In Zimbra et al. (2018)’s evaluation of “The State-of-the-Art in Twitter Sentiment Analysis” this approach received the highest score in classification accuracy (average across five categories of content, table 4, p5:15).

This package is available from the PyPi software repository: https://pypi.org/project/webis/
Its source code is hosted on GitLab: https://gitlab.com/christoph.fink/python-webis
Original languageEnglish
Media of outputinternet
Size40kB
DOIs
Publication statusPublished - 23 Jan 2019
MoE publication typeI2 ICT software

Fields of Science

  • 1172 Environmental sciences
  • 6160 Other humanities

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