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Document type:
Zeitschriftenaufsatz
Author(s):
Werner, Martin
Title:
Spatially Supervised Text Mining for Social Media Cleaning and Preprocessing
Abstract:
In this paper, we show a framework for partial bot rejection based on spatially supervised text mining from social media messages. We show qualitative results towards the reduction of known bots and give hints on how this cleaning technique can help us in filling gaps of current signals related to human life on Earth based on social media. The bot rejection framework is based on using a spatial signal for supervising a machine learning model with extreme label noise still being able to reject so...     »
Keywords:
social media analysis, text mining, data cleaning
Journal title:
GI_Forum
Year:
2021
Journal volume:
1
Pages contribution:
68-75
Fulltext / DOI:
doi:10.1553/giscience2021_01_s68
Publisher:
Osterreichische Akademie der Wissenschaften
E-ISSN:
2308-17082308-1708
Date of publication:
01.01.2021
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