mlsanityData to 7 Oct 2026

LowResource at BLP-2023 Task 2: Leveraging BanglaBert for Low Resource Sentiment Analysis of Bangla Language

arXiv 2311.12735 ↗First posted 21 Nov 2023cs.CLcited by 3

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Abstract (arXiv)

This paper describes the system of the LowResource Team for Task 2 of BLP-2023, which involves conducting sentiment analysis on a dataset composed of public posts and comments from diverse social media platforms. Our primary aim is to utilize BanglaBert, a BERT model pre-trained on a large Bangla corpus, using various strategies including fine-tuning, dropping random tokens, and using several external datasets. Our final model is an ensemble of the three best BanglaBert variations. Our system has achieved overall 3rd in the Test Set among 30 participating teams with a score of 0.718. Additionally, we discuss the promising systems that didn't perform well namely task-adaptive pertaining and paraphrasing using BanglaT5. Training codes and external datasets which are used for our system are publicly available at https://github.com/Aunabil4602/bnlp-workshop-task2-2023

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 14 of its 30 references that are in the map. First posted on arXiv 21 Nov 2023.

Builds on

14 of 30 references.

References · 14

  1. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  2. 2020Don't Stop Pretraining: Adapt Language Models to Domains and Taskscited by 1,548
  3. 2017Mixed Precision Trainingcited by 1,135
  4. 2020BERTweet: A pre-trained language model for English Tweetscited by 346
  5. 2021BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Banglacited by 123
  6. 2021A Survey on Data Augmentation for Text Classificationcited by 111
  7. 2021Distributed Deep Learning in Open Collaborationscited by 58
  8. 2023SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)cited by 41
  9. 2022BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Banglacited by 40
  10. 2023Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysiscited by 20
  11. 2023BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviewscited by 14
  12. 2023NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysiscited by 10
2 more
  1. 2021Emotion Classification in a Resource Constrained Language Using Transformer-based Approachcited by 7
  2. 2023BLP-2023 Task 2: Sentiment Analysiscited by 7

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Cited by year

Citing papers per year: 2024: 1; 2025: 2.

3 papers.

  1. 2025Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIMEcited by 3
  2. 2024Enhancing Sentiment Analysis in Bengali Texts: A Hybrid Approach Using Lexicon-Based Algorithm and Pretrained Language Model Bangla-BERTcited by 2
  3. 2025BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learningcited by 0