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Complex word networks - comparing and combining information extraction methods

Hamm, Andreas (2019) Complex word networks - comparing and combining information extraction methods. Statistical Physics of Complex Systems, 7.-11. Mai 2019, 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/
Document Type:Conference or Workshop Item (Poster)
Title:Complex word networks - comparing and combining information extraction methods
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hamm, AndreasAndreas.Hamm (at) dlr.deUNSPECIFIED
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 Dates:7.-11. Mai 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, Andreas
Deposited On:29 May 2019 12:59
Last Modified:31 Jul 2019 20:25

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