ListarLingua e Sociedade da Información (Language in the Information Society) (LYS) por tema "Sentiment analysis"
Mostrando ítems 1-17 de 17
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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 ... -
Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Resumen]: En este artículo se describe un sistema para la clasificación de la polaridad de tuits escritos en español. Se adopta una aproximación híbrida, que combina conocimiento lingüístico obtenido mediante PLN con ... -
Clasificación de polaridad en textos con opiniones en español mediante análisis sintáctico de dependencias
(Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Resumen]: En este artículo se describe un sistema de minería de opiniones que clasifica la polaridad de textos en español. Se propone una aproximación basada en PLN que conlleva realizar una segmentación, tokenización y ... -
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 ... -
Lyapunov filtering of objectivity for Spanish sentiment model
(IEEE, 2016-07)[Abstract] Objective sentences lack sentiments and, hence, can reduce the accuracy of a sentiment classifier. Traditional methods prior to 2001 used hand-crafted templates to identify subjectivity and did not generalize ... -
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 ... -
LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
(Association for Computational Linguistics, 2014)[Abstract]: This paper proposes an approach to solve message- and phrase-level polarity classification in Twitter, derived from an existing system designed for Spanish. As a first step, an ad-hoc preprocessing is performed. ... -
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 ... -
On the Logistical Difficulties and Findings of Jopara Sentiment Analysis
(Association for Computational Linguistics, 2021-06)[Abstract] This paper addresses the problem of sentiment analysis for Jopara, a code-switching language between Guarani and Spanish. We first collect a corpus of Guarani-dominant tweets and discuss on the difficulties of ... -
On the Processing and Analysis of Microtexts: From Normalization to Semantics
(M D P I AG, 2018-09-18)[Abstract] User-generated content published on microblogging social platforms constitutes an invaluable source of information for diverse purposes: health surveillance, business intelligence, political analysis, etc. We ... -
Public Sentiment Analysis and Topic Modeling Regarding COVID-19’s Three Waves of Total Lockdown: A Case Study on Movement Control Order in Malaysia
(KSII, 2022-07-31)[Abstract] The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this ... -
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 ... -
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 ... -
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 ... -
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. ... -
Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe
(2017-09-19)[Abstract] Dealing with negation in a proper way is a relevant factor in order to obtain high performance sentiment analysis systems. In this framework, we present a method for the treatment of negation in Spanish that ... -
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) ...