Buscar
Mostrando ítems 41-50 de 104
A review on political analysis and social media
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2016)
[Abstract] In democratic countries, forecasting the voting intentions of citizens and knowing their opinions on major political parties and leaders is of great interest to the parties themselves, to the media, and to the ...
Surfing the Modeling of pos Taggers in Low-Resource Scenarios
(MDPI, 2022-09-27)
[Abstract] The recent trend toward the application of deep structured techniques has revealed the
limits of huge models in natural language processing. This has reawakened the interest in traditional
machine learning ...
Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy
(Elsevier B.V., 2019-10)
[Absctract]: An increasingly wide range of artificial intelligence applications rely on syntactic information to process and extract meaning from natural language text or speech, with constituent trees being one of the ...
Viable Dependency Parsing as Sequence Labeling
(Association for Computational Linguistics (ACL), 2019-06)
[Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...
A linguistic approach for determining the topics of Spanish Twitter messages
(SAGE Publications & CILIP, 2015)
[Abstract]: The vast number of opinions and reviews provided in Twitter is helpful in order to make interesting findings about a given industry, but given the huge number of messages published every day, it is important ...
LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets
(CEUR-WS Workshop Proceedings, 2015)
[Abstract]: This paper describes the participation of the LyS group at tass 2015. In
this year’s edition, we used a long short-term memory neural network to address the
two proposed challenges: (1) sentiment analysis at ...
A syntactic approach for opinion mining on Spanish reviews
(Cambridge University Press, 2015-01)
[Abstract]: We describe an opinion mining system which classifies the polarity of Spanish texts. We propose an NLP approach that undertakes pre-processing, tokenisation and POS tagging of texts to then obtain the syntactic ...
The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets
(SAGE Publications & CILIP, 2015)
[Abstract]: Twitter is an important platform for sharing opinions about politicians, parties and political decisions. These opinions can be exploited as a source of information to monitor the impact of politics on society. ...
Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora
(Association for Computational Linguistics, 2015)
[Abstract]: We address the problem of performing po-
larity classification on Twitter over differ-
ent languages, focusing on English and
Spanish, comparing three techniques: (1)
a monolingual model which knows ...
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
(Springer, 2019)
[Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...