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

被引：0

作者：

Rathi, Shashank ^{[1
]}

Pande, Siddhesh ^{[1
]}

Atkare, Harshwardhan ^{[1
]}

Tangsali, Rahul ^{[1
]}

Vyawahare, Aditya ^{[1
]}

Kadam, Dipali ^{[1
]}

机构：

[1] PICT, Pune, Maharashtra, India

来源：

17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023 | 2023年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a summary of our findings obtained on sentiment analysis of 3 African languages among the 17 languages mentioned in the shared task. We carried out a sentiment analysis on Hausa, Yoruba, and Swahili. The models used here for the mentioned task were logistic regression, SVM, RandomForest, and mBERT along with a few data-preprocessing and oversampling techniques. The performance of the models used was evaluated by considering weighted average and macro average F1 scores as metrics. The best set of scores obtained on the languages Hausa, Yoruba and Swahili are (76.53, 76.55), (74.83, 73.15) and (57.79, 48.59) respectively.

引用

页码：1161 / 1165

页数：5

共 50 条

[31] UniSent: Universal Sentiment Analysis System for Low-Resource Languages
Jabreel, Mohammed
Maaroof, Najlaa
Valls, Aida
Moreno, Antonio
ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2019, 319 : 387 - 396
[32] Comparative Analysis of Transformer Models for Sentiment Analysis in Low-Resource Languages
Aliyu, Yusuf
Sarlan, Aliza
Danyaro, Kamaluddeen Usman
Rahman, Abdulahi Sani B. A.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (04) : 353 - 364
[33] Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin Tweets
Kniele, Annika
Beloucif, Meriem
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1491 - 1497
[34] Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques
Thakkar, Gaurish
Preradovic, Nives Mikelic
Tadic, Marko
ENG, 2024, 5 (04): : 2920 - 2942
[35] ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers
Chavan, Tanmay
Patwardhan, Ved
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 1304 - 1310
[36] Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages
Raychawdhary, Nilanjana
Das, Amit
Bhattacharya, Sutanu
Dozier, Gerry
Seals, Cheryl D.
SOUTHEASTCON 2024, 2024, : 50 - 55
[37] Building lexicon-based sentiment analysis model for low-resource languages
Mohammed, Idi
Prasad, Rajesh
METHODSX, 2023, 11
[38] Howard University Computer Science at SemEval-2023 Task 12: A 2-Step System Design for Multilingual Sentiment Classification with Language Identification
Aryal, Saurav
Prioleau, Howard
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 2153 - 2159
[39] Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic
Belbachir, Faiza
17TH INTERNATIONAL WORKSHOP ON SEMANTIC EVALUATION, SEMEVAL-2023, 2023, : 389 - 396
[40] Deep Persian sentiment analysis: Cross-lingual training for low-resource languages
Ghasemi, Rouzbeh
Ashrafi Asli, Seyed Arad
Momtazi, Saeedeh
JOURNAL OF INFORMATION SCIENCE, 2022, 48 (04) : 449 - 462

← 1 2 3 4 5 →