Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tamara Álvarez-López"'
Publikováno v:
WI
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018)
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), Dec 2018, Santiago, Chile. pp.428-433, ⟨10.1109/WI.2018.00-57⟩
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018)
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), Dec 2018, Santiago, Chile. pp.428-433, ⟨10.1109/WI.2018.00-57⟩
International audience; In this paper, new schemas for feature categorization in different kinds of reviews, in the domain of books, are presented, so aspect extraction techniques could be later applied. We deal here with two types of reviews: formal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff2c8c521d3753e30631e3680dbd95b
https://doi.org/10.1109/wi.2018.00-57
https://doi.org/10.1109/wi.2018.00-57
Autor:
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Tamara Álvarez-López, Enrique Costa-Montenegro, Francisco J. González-Castaño
Publikováno v:
Expert Systems with Applications. 58:57-75
Method to predict sentiment in informal texts using unsupervised dependency parsing.Algorithm based on sentiment propagation using linguistic content without training.Method to create lexicon using polarity expansion algorithm for specific domains.Ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8efde20f0d262429c9390437d9f72628
https://doi.org/10.1016/j.eswa.2016.03.031
https://doi.org/10.1016/j.eswa.2016.03.031
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319919461
NLDB
NLDB
Aspect-based sentiment analysis (absa) deals with extracting opinions at a fine-grained level from texts, providing a very useful information for companies which want to know what people think about them or their products. Most of the systems develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c062f9deeeb6165eda70c923ad89d354
https://doi.org/10.1007/978-3-319-91947-8_1
https://doi.org/10.1007/978-3-319-91947-8_1
Autor:
Juan C. Burguillo, Aleksander Byrski, Tamara Álvarez-López, Jose Covelo, Elias Fernández Domingos, Ana Peleteiro, Miguel González Loureiro
Publikováno v:
COMPUTING AND INFORMATICS; Vol 36, No 3 (2017): Computing and Informatics; 493-516
The N-Person Iterated Prisoner's Dilemma (NIPD) is an interesting game that has proved to be very useful to explore the emergence of cooperation in multi-player scenarios. Within this game, the way that agents are interconnected is a key element that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd39c4883794ddcb6d7291bb8d0ee7e
https://hdl.handle.net/20.500.14017/8d6a16a7-be50-4063-b499-836b11cb432c
https://hdl.handle.net/20.500.14017/8d6a16a7-be50-4063-b499-836b11cb432c
Autor:
Tamara Álvarez-López, Enrique Costa-Montenegro, Francisco J. González-Castaño, Jonathan Juncal-Martínez, Milagros Fernández-Gavilanes
Publikováno v:
Expert Systems with Applications. 61:394
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5caec5807c411abebc8567a87cdbbaa
https://doi.org/10.1016/j.eswa.2016.06.007
https://doi.org/10.1016/j.eswa.2016.06.007
Autor:
Jonathan Juncal-Martínez, Milagros Fernández-Gavilanes, Enrique Costa-Montenegro, Francisco J. González-Castaño, Tamara Álvarez-López
Publikováno v:
Milagros Fernández-Gavilanes
Scopus-Elsevier
SemEval@NAACL-HLT
ResearcherID
Scopus-Elsevier
SemEval@NAACL-HLT
ResearcherID
This paper describes in detail the approach carried out by the GTI research group for SemEval 2016 Task 5: Aspect-Based Sentiment Analysis, for the different subtasks proposed, as well as languages and dataset contexts. In particular, we developed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14771575b235904af1156dc9dffd54ad
http://www.scopus.com/inward/record.url?eid=2-s2.0-84996759477&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84996759477&partnerID=MN8TOARS
Autor:
Milagros Fernández-Gavilanes, Enrique Costa-Montenegro, Francisco J. González-Castaño, Tamara Álvarez-López, Jonathan Juncal-Martínez
Publikováno v:
ResearcherID
SemEval@NAACL-HLT
Scopus-Elsevier
Milagros Fernández-Gavilanes
SemEval@NAACL-HLT
Scopus-Elsevier
Milagros Fernández-Gavilanes
This paper presents the approach of the GTI Research Group to SemEval-2016 task 4 on Sentiment Analysis in Twitter, or more specifically, subtasks A (Message Polarity Classification), B (Tweet classification according to a two-point scale) and D (Twe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a132c0e210172c31c5dbd09266c9021
http://www.scopus.com/inward/record.url?eid=2-s2.0-85035795626&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85035795626&partnerID=MN8TOARS
Publikováno v:
HAL
Natural Language Processing and Information Systems. NLDB 2018
Natural Language Processing and Information Systems. NLDB 2018, May 2018, Paris, France. pp.3-14
Natural Language Processing and Information Systems. NLDB 2018
Natural Language Processing and Information Systems. NLDB 2018, May 2018, Paris, France. pp.3-14
International audience; Aspect-based sentiment analysis (ABSA) deals with extracting opinions at a fine-grained level from texts, providing a very useful information for companies which want to know what people think about them or their products. Mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0cf7d607666f8704b3259e2cee15abc1
https://hal.archives-ouvertes.fr/hal-01958697
https://hal.archives-ouvertes.fr/hal-01958697