Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Milagros Fernández-Gavilanes"'
Autor:
Milagros Fernández‐Gavilanes, María Álvarez Hernández, Andrés Suárez-García, Elena Arce‐Fariña
Publikováno v:
Computer Applications in Engineering Education. 29:1257-1266
Autor:
Milagros Fernández-Gavilanes, F. Javier Gonzalez-Castano, Silvia García-Méndez, Jonathan Juncal-Martínez, Enrique Costa-Montenegro
Publikováno v:
Expert Systems with Applications. 120:372-386
In this article we present a novel system for natural language generation ( nlg ) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) which, unlike other state-of-the-art solutions, performs the nlg task
Autor:
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Enrique Costa-Montenegro, Francisco J. González-Castaño, Silvia García-Méndez
Publikováno v:
Expert Systems with Applications. 117:15-28
In recent years there has been intense work on the analysis of social media to support marketing campaigns. A proper methodology for sentiment analysis is a crucial asset in this regard. However, when monitoring major public events the behaviour or s
Autor:
Jonathan Juncal-Martínez, Silvia García-Méndez, Oscar Barba Seara, Francisco J. González-Castaño, Milagros Fernández-Gavilanes
Publikováno v:
IEEE Access, Vol 8, Pp 61642-61655 (2020)
Short texts are omnipresent in real-time news, social network commentaries, etc. Traditional text representation methods have been successfully applied to self-contained documents of medium size. However, information in short texts is often insuffici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc32d530461333e6a4bb5080cdd6a59d
https://ieeexplore.ieee.org/document/9047935/
https://ieeexplore.ieee.org/document/9047935/
Autor:
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Silvia García-Méndez, Enrique Costa-Montenegro, Francisco J. González-Castaño
Publikováno v:
Expert Systems with Applications. 103:74-91
Online media, such as blogs and social networking sites, generate massive volumes of unstructured data of great interest to analyze the opinions and sentiments of individuals and organizations. Novel approaches beyond Natural Language Processing are
Autor:
Milagros Fernández-Gavilanes, Jonathan Juncal-Martínez, Silvia García-Méndez, Enrique Costa-Montenegro, Francisco J. González-Castaño
Publikováno v:
Expert Systems with Applications. 184:115279
Emoji sentiment analysis is a relevant research topic nowadays, for which emoji sentiment lexica are key assets. Manual annotation affects directly their quality (where high quality usually corresponds to high self-agreement and inter-agreement). In
Autor:
Ehud Reiter, Jonathan Juncal-Martínez, Milagros Fernández-Gavilanes, Enrique Costa-Montenegro, Francisco J. González-Castaño, Silvia García-Méndez
Publikováno v:
IEEE Access, Vol 7, Pp 123320-123333 (2019)
We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches. Here, “automatic” means that the system can generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b098f7899a912622245fd4952b20ddc3
https://hdl.handle.net/11093/4266
https://hdl.handle.net/11093/4266
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
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
Autor:
Silvia García-Méndez, Jonathan Juncal-Martínez, Enrique Costa-Montenegro, Francisco J. González-Castaño, Milagros Fernández-Gavilanes
Publikováno v:
W4A
We present our work to build the Spanish version of SimpleNLG by adapting it and creating new code to satisfy the Spanish linguistic requirements. Not only have we developed this version but also we have achieved a library that only needs the main wo