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

Christoph Alexander Fink

doi:10.5281/zenodo.2547461

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

Forskningsoutput: Icke-textbaserad output › Programvara › Vetenskaplig

Sammanfattning

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

Originalspråk	engelska
Utgivningsformat	internet
Storlek	40kB
DOI	https://doi.org/10.5281/zenodo.2547461
Status	Publicerad - 23 jan. 2019
MoE-publikationstyp	I2 ICT-programvara

Vetenskapsgrenar

1172 Miljövetenskap
6160 Övriga humanistiska vetenskaper

Åtkomst av dokument

10.5281/zenodo.2547461Licens: GNU GPL

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Investigating illegal wildlife trade: innovative approaches to inform global conservation policy
Di Minin, E., Fink, C., Haukka, A. & Hausmann, A.
Valtion perusrahoitus/hankkeet, Helsinki Institute of Sustainability Science (HELSUS)
01/09/2016 → 31/05/2020
Projekt: Helsingfors Universitetets treåriga forskningsprojekt

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title = "python-webis: Python wrapper for the webis Twitter sentiment evaluation ensemble",

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){\textquoteright}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 ",

keywords = "1172 Environmental sciences, 6160 Other humanities",

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doi = "10.5281/zenodo.2547461",

language = "English",

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N2 - 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

AB - 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

KW - 1172 Environmental sciences

KW - 6160 Other humanities

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M3 - Software

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

Sammanfattning

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Projekt

Investigating illegal wildlife trade: innovative approaches to inform global conservation policy

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