Research
Two decades of computational linguistics research — from sentiment analysis to AI-powered corpus understanding.
A lineage of innovation
Each tool builds on the last — refining approaches to computational linguistics and expanding what automated analysis can achieve.
Sentiment analysis of Spanish texts
Multi-language sentiment analysis tool
Discourse parser for sentiment analysis
AI-powered multi-modal corpus analysis platform
Three-year research plan
Funded by Spain's Ministerio de Ciencia, Innovación y Universidades (PID2023-152406NB-I00). A systematic approach to building comprehensive linguistic analysis infrastructure.
Compile 10 thematic corpora across 23 languages. Develop annotation schemas, metadata standards, and the initial processing pipeline.
Integrate LLM-based analysis (Qwen 2.5), implement BERTopic modeling, semantic search with embeddings, and the 15-aspect insight extraction system.
User studies, platform optimization, academic publications, and technology transfer to industry. Open access to research community.
Selected publications
View all on Google Scholar →Expected impact
Advancing the intersection of computational linguistics, NLP, and AI — with practical applications across academia and industry.