Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Danny Suarez Vargas"'
Autor:
Lucas Lima de Oliveira, Danny Suarez Vargas, Antônio Marcelo Azevedo Alexandre, Fábio Corrêa Cordeiro, Diogo da Silva Magalhães Gomes, Max de Castro Rodrigues, Regis Kruel Romeu, Viviane Pereira Moreira
Publikováno v:
International Journal on Digital Libraries. 24:45-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d78c7a3969951401297a5f0e076481e6
https://doi.org/10.1007/s00799-023-00345-6
https://doi.org/10.1007/s00799-023-00345-6
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031243394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::292d255ee2e625547befc2a1b166f0ff
https://doi.org/10.1007/978-3-031-24340-0_46
https://doi.org/10.1007/978-3-031-24340-0_46
Autor:
Danny Suarez Vargas, Lucas R. C. Pessutto, Viviane P. Moreira, Tiago de Melo, Altigran S. Da Silva
Publikováno v:
2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cc6d0df13a34664ae63c68ec34a367f
https://doi.org/10.1109/wi-iat55865.2022.00013
https://doi.org/10.1109/wi-iat55865.2022.00013
Autor:
Danny Suarez Vargas, Lucas Lima de Oliveira, Viviane P. Moreira, Guilherme Torresan Bazzo, Gustavo Acauan Lorentz
Publikováno v:
Anais do XXXVI Simpósio Brasileiro de Banco de Dados (SBBD 2021).
A significant portion of the textual information of interest to an organization is stored in PDF files that should be converted into plain text before their contents can be processed by an information retrieval or text mining system. When the PDF doc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfac4fbd837995dd1545afb26aac4706
https://doi.org/10.5753/sbbd.2021.17866
https://doi.org/10.5753/sbbd.2021.17866
Autor:
Gustavo Acauan Lorentz, Guilherme Torresan Bazzo, Viviane Pereira Moreira, Danny Suarez Vargas
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
A significant amount of the textual content available on the Web is stored in PDF files. These files are typically converted into plain text before they can be processed by information retrieval or text mining systems. Automatic conversion typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdbc76a5d9c33e9dec023fde206ffeda
https://doi.org/10.1007/978-3-030-45442-5_13
https://doi.org/10.1007/978-3-030-45442-5_13
Publikováno v:
Knowledge-Based Systems. 192:105339
In the last few years, there has been growing interest in aspect-based sentiment analysis, which deals with extracting, clustering, and rating the overall opinion about the features of the entity being evaluated. Techniques for aspect extraction can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4803a32956247cae39986279707d0e08
https://doi.org/10.1016/j.knosys.2019.105339
https://doi.org/10.1016/j.knosys.2019.105339
Publikováno v:
WI
The area of sentiment analysis has experienced significant developments in the last few years. More specifically, there has been growing interest in aspect-based sentiment analysis in which the goal is to extract, group, and rate the overall opinion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3916bf28ee4b0273a2cb4c895f738b61
https://doi.org/10.1109/wi.2018.00-91
https://doi.org/10.1109/wi.2018.00-91
Autor:
Danny Suarez Vargas, Viviane Moreira
Publikováno v:
Journal of Information and Data Management; v. 8, n. 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 242
Journal of Information and Data Management; Vol 8 No 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 242
Journal of Information and Data Management; v. 8 n. 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 242
Journal of Information and Data Management; Vol 8 No 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 242
Journal of Information and Data Management; v. 8 n. 3 (2017): JOURNAL OF INFORMATION AND DATA MANAGEMENT; 242
Contradiction Analysis is a relatively new multidisciplinary and complex area with the main goal of identifying contradictory pieces of text. It can be addressed from the perspectives of different research areas such as Natural Language Processing, O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e811910890df902ba3a727e5856f4e80
https://seer.ufmg.br/index.php/jidm/article/view/4624
https://seer.ufmg.br/index.php/jidm/article/view/4624