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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPEW34M/45E54GS
Repositorysid.inpe.br/sibgrapi/2021/09.13.19.25
Last Update2021:10.13.16.06.07 (UTC) hevelyn.sthefany@gmail.com
Metadatasid.inpe.br/sibgrapi/2021/09.13.19.25.26
Metadata Last Update2021:10.13.16.06.07 (UTC) hevelyn.sthefany@gmail.com
Citation KeyCarvalhoBorg:2021:CoStTe
TitleA Comparative Study of Text Document Representation Approaches Using Point Placement-based Visualizations
FormatOn-line
Year2021
Access Date2021, Oct. 19
Number of Files1
Size4243 KiB
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Author1 Carvalho, Hevelyn Sthefany Lima de
2 Borges, Vinicius Ruela Pereira
Affiliation1 University of Brasília
2 University of Brasília
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addresshevelyn.sthefany@gmail.com
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado (Virtual), Brazil
DateOctober 18th to October 22nd, 2021
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeUndergraduate Work
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsvisualization
word-embedding
feature extraction
text
multidimensional scaling
AbstractIn natural language processing, text representation plays an important role which can affect the performance of language models and machine learning algorithms. Basic vector space models, such as the term frequency-inverse document frequency, became popular approaches to represent text documents. In the last years, approaches based on word embeddings have been proposed to preserve the meaning and semantic relations of words, phrases and texts. In this paper, we focus on studying the influences of different text representations to the quality of layouts generated by state-of-art visualizations based on point placement. For that purpose, a visualization-assisted approach is proposed to support users when exploring such representations in classification tasks. Experimental results using two public labeled corpora were conducted to assess the quality of the layouts and to discuss possible relations to the classification performances. The results are promising, indicating that the proposed approach can guide users to understand the relevant patterns of a corpus in each representation.
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data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45E54GS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45E54GS
Languageen
Target FileWUW-9.pdf
User Grouphevelyn.sthefany@gmail.com
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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