Buscar
Mostrando ítems 1-10 de 13
Discovering Topics in Twitter About the COVID-19 Outbreak in Spain
(Sociedad Española de Procesamiento del Lenguaje Natural, 2021)
[Resumen] En este trabajo, analizamos lo que los usuarios han estado discutiendo en Twitter durante el comienzo de la pandemia causada por el COVID-19. Concretamente, analizamos tres fases diferenciadas de la crisis del ...
Sentiment Analysis for Fake News Detection
(MDPI, 2021)
[Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...
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 ...
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 ...
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. ...
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 ...
Supervised sentiment analysis in multilingual environments
(Elsevier, 2017-05)
[Abstract]: This article tackles the problem of performing multilingual polarity classification on Twitter, comparing three techniques: (1) a multilingual model trained on a multilingual dataset, obtained by fusing existing ...
Universal, unsupervised (rule-based), uncovered sentiment analysis
(Elsevier, 2017-02)
[Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...
Multidimensional Affective Analysis for Low-Resource Languages: A Use Case with Guarani-Spanish Code-Switching Language
(Springer, 2023)
[Abstract]: This paper focuses on text-based affective computing for Jopara, a code-switching language that combines Guarani and Spanish. First, we collected a dataset of tweets primarily written in Guarani and annotated ...