material ID: yoruba

Related Papers

Massive vs. Curated Embeddings for Low-Resourced Languages: the Case of Yorùbá and Twi

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThe success of several architectures to learn semantic representations from unannotated text and the availability of these kind of texts in online multilingual resources such as Wikipedia has facilitated the …...

14967

Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and Yoruba

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractSentiment Analysis is an aspect of natural languageprocessing (NLP) that has been a topicof research. While most studies focus on highresourcelanguages with an extensive amountof available data, the study on …...

24764

HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractWe present the findings of SemEval-2023 Task 12, a shared task on sentiment analysis for low-resource African languages using Twitter dataset. The task featured three subtasks; subtask A is monolingual …...

24962

Trinity at SemEval-2023 Task 12: Sentiment Analysis for Low-resource African Languages using Twitter Dataset

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractIn this paper, we have performed sentiment analysis on three African languages (Hausa, Swahili, and Yoruba). We used various deep learning and traditional models paired with a vectorizer for classification …...

24810