Hamm, Andreas and Thelen, Jana and Beckmann, Rasmus and Odrowski, Simon (2021) TeCoMiner: Topic Discovery Through Term Community Detection. [Other]
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Official URL: https://arxiv.org/abs/2103.12882
Abstract
This note is a short description of TeCoMiner, an interactive tool for exploring the topic content of text collections. Unlike other topic modeling tools, TeCoMiner is not based on some generative probabilistic model but on topological considerations about co-occurrence networks of terms. We outline the methods used for identifying topics, describe the features of the tool, and sketch an application, using a corpus of policy related scientific news on environmental issues published by the European Commission over the last decade.
Item URL in elib: | https://elib.dlr.de/141584/ | ||||||||||||||||||||
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Document Type: | Other | ||||||||||||||||||||
Title: | TeCoMiner: Topic Discovery Through Term Community Detection | ||||||||||||||||||||
Authors: |
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Date: | 23 March 2021 | ||||||||||||||||||||
Journal or Publication Title: | arXiv.org | ||||||||||||||||||||
Refereed publication: | No | ||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||
Number of Pages: | 8 | ||||||||||||||||||||
Status: | Published | ||||||||||||||||||||
Keywords: | Information extraction, text mining, NLP, word communities, modularity, topic detection, topic modelling,topic visualization, environmental policy | ||||||||||||||||||||
HGF - Research field: | other | ||||||||||||||||||||
HGF - Program: | other | ||||||||||||||||||||
HGF - Program Themes: | other | ||||||||||||||||||||
DLR - Research area: | no assignment | ||||||||||||||||||||
DLR - Program: | no assignment | ||||||||||||||||||||
DLR - Research theme (Project): | no assignment | ||||||||||||||||||||
Location: | Köln-Porz | ||||||||||||||||||||
Institutes and Institutions: | Think Tank | ||||||||||||||||||||
Deposited By: | Hamm, Dr. Andreas | ||||||||||||||||||||
Deposited On: | 29 Mar 2021 12:39 | ||||||||||||||||||||
Last Modified: | 29 Mar 2021 12:39 |
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