4 papers · 1 filter
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis
Muhammad Imran, Olga Kellert, Carlos Gómez-RodrÃguez
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…
Evaluating Compositional Approaches for Focus and Sentiment Analysis
Olga Kellert, Muhammad Imran, Nicholas Hill Matlis +2
This paper summarizes the results of evaluating a compositional approach for Focus Analysis (FA) in Linguistics and Sentiment Analysis (SA) in Natural Language Processing (NLP). Wh…
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages
Olga Kellert, Nemika Tyagi, Muhammad Imran +2
Code-switching presents a complex challenge for syntactic analysis, especially in low-resource language settings where annotated data is scarce. While recent work has explored the…
Dancing in the syntax forest: fast, accurate and explainable sentiment analysis with SALSA
Carlos Gómez-RodrÃguez, Muhammad Imran, David Vilares +2
Sentiment analysis is a key technology for companies and institutions to gauge public opinion on products, services or events. However, for large-scale sentiment analysis to be acc…