RT Journal Article
T1 Lexicon-based sentiment analysis in texts using Formal Concept Analysis
A1 Ojeda Hernández, Manuel
A1 López-Rodríguez, Domingo
A1 Mora, Angel
K1 Léxicos especiales
K1 Análisis de datos
AB In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach allows for the creation of customised dictionaries that are tailored to the specific data and tasks. By using a dataset of tweets categorised into positive and negative polarity, we show that our approach achieves a better performance than other standard dictionaries
PB Elsevier
YR 2023
FD 2023
LK https://hdl.handle.net/10630/26390
UL https://hdl.handle.net/10630/26390
LA eng
NO Ojeda-Hernández, López-Rodríguez, D., & Mora, Á. (2023). Lexicon-based sentiment analysis in texts using Formal Concept Analysis. International Journal of Approximate Reasoning, 155, 104–112. https://doi.org/10.1016/j.ijar.2023.02.001
NO This research is partially supported by the State Agency of Research (AEI), the Spanish Ministry of Science, Innovation, and Universities (MCIU), the European Social Fund (FEDER), the Junta de Andalucía (JA), and the Universidad de Málaga (UMA) through the FPU19/01467 (MCIU) internship and the research projects with reference PGC2018-095869-B-I00, TIN2017-89023-P, PID2021-127870OB-I00 (MCIU/AEI/FEDER, UE) and UMA18-FEDERJA-001 (JA/ UMA/ FEDER, UE). Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 26 ene 2026