gpl-2.0Fink, Christoph2025-03-242019-01-232019-01-23https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9890This 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  Note that the attached file (version 0.3.0) is up-to-date as of April 28, 2020, and newer versions will be published on PyPi and GitLab.OpenSentiment IdentificationNatural Language ProcessingSocial MediaTwitterPythonJavasoftware