Work

Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data

Year: 2021

Type: conference-paper

Abstract: This paper presents multidimensional Social Opinion Mining on user-generated content gathered from newswires and social networking services in three different languages: English -a high-resourced language, Maltese -a low-resourced language, and Maltese-English -a code-switched language.Multiple fine-tuned neural classification language models which cater for the i) English, Maltese and Maltese-English languages as well as ii) five different social opinion dimensions, namely subjectivity, sentiment polarity, emotion, irony and sarcasm, are presented.Results per classification model for each social opinion dimension are discussed.

Source: International conference Recent advances in natural language processing

DOI: 10.26615/978-954-452-072-4_036

Authors: Keith Cortis, Kanishk Verma, Brian Davis

Institution: Dublin City University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: Science Foundation Ireland

Award: ADAPT: Centre for Digital Content Platform Research