Topic-Modeling- and Subject-Classification-Analyses of Articles from the EURASIP Journal on Advances in Signal Processing

This data set contains the results of topic-modeling- and subject- classification-analyses of the abstracts of 87 articles from the EURASIP Journal on Advances in Signal Processing (ISSN: 1687-6180). All of the selected articles had in common that they were assigned the keyword “OFDM” (Orthogonal Frequency-Division Multiplexing) by the authors or the publisher. The topic modeling analyses were carried out with the program GibbsLDA++ (<http://gibbslda.sourceforge.net>) once with and once without stemming (model-final.twords_w_stemming.txt and model-final.twords_wo_stemming.txt, respectively). The program parameters were set to: src/lda -est -alpha 0.5 -beta 0.1 -ntopics 10 -niters 1000 -savestep 100 -twords 20 The subject classification analyses were carried out with the web-application Annif.org (<http://annif.org/>), which offers different algorithms for the classification. The following algorithms were used (the name of the corresponding result file is given in brackets): Annif prototype API English (Annif.png), fastText English (fastText.png), Maui English (Maui.png), TF-IDF English (TF-IDF.png), YSO ensemble English (YSO.png). A list with the DOIs of the articles can be found in the file "DOIs_analyzed_articles.txt" and the analyzed abstracts of these articles in the zip archive "Abstracts_EURASIPJAdvSignalProcess.zip".

Keywords

TDM, Text and Data Mining, Topic Modeling, Subject Classification, OFDM, Orthogonal Frequency-Division Multiplexing, Orthogonales Frequenzmultiplexverfahren

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/2090
http://dx.doi.org/10.25534/tudatalib-110

DFG Classification

1.14-03 Angewandte Sprachwissenschaften, Computerlinguistik
4.42-02 Kommunikationstechnik und- netze, Hochfrequenztechnik und photonische Systeme, Signalverarbeitung und maschinelles Lernen für Informationstechnik

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Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International

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Version	Date	Summary
5	2019-11-26 13:11:16	We repeated the TDM analyses because we had noticed that at least 7 of the 87 abstracts analyzed had been incomplete in the first version of the dataset. A more detailed error description can be found in the description section of the new version.
1*	2019-10-09 14:51:54

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Topic-Modeling- and Subject-Classification-Analyses of Articles from the EURASIP Journal on Advances in Signal Processing

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