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Hamm, Andreas (2019) Complex word networks - comparing and combining information extraction methods. Statistical Physics of Complex Systems, 2019-05-07 - 2019-05-11, Stockholm, Schweden.
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Abstract
In addition to traditional statistical and linguistic approaches to automatic keyword and information extraction from texts and corpora a number of network-based methods have been suggested in recent years. This poster presents intermediate results of a comparative study about the practical application of these methods and describes a new method, Positional IdfRank, which combines some of the advantages of existing methods.
| Item URL in elib: | https://elib.dlr.de/127501/ | ||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||
| Title: | Complex word networks - comparing and combining information extraction methods | ||||||||
| Authors: |
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| Date: | 8 May 2019 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Text mining, natural language processing, keyphrase extraction, word networks | ||||||||
| Event Title: | Statistical Physics of Complex Systems | ||||||||
| Event Location: | Stockholm, Schweden | ||||||||
| Event Type: | international Conference | ||||||||
| Event Start Date: | 7 May 2019 | ||||||||
| Event End Date: | 11 May 2019 | ||||||||
| Organizer: | European Physical Society | ||||||||
| 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, R - no assignment | ||||||||
| Location: | Köln-Porz | ||||||||
| Institutes and Institutions: | Division of the Chair of the Executive Board | ||||||||
| Deposited By: | Hamm, Dr. Andreas | ||||||||
| Deposited On: | 29 May 2019 12:59 | ||||||||
| Last Modified: | 24 Apr 2024 20:31 |
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