BanglaBook: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews (2023.findings-acl)
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| Challenge: | Existing literature on Bangla Sentiment Analysis (SA) has limited data and cross-domain adaptability. |
| Approach: | They present a large-scale dataset of Bangla book reviews with 158,065 samples . they employ a range of machine learning models to establish baselines including SVM, LSTM, and Bangla-BERT. |
| Outcome: | The proposed model improves performance over models that rely on manual features. |
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| Challenge: | Bangla is the sixth most spoken language worldwide and the second Indo-Aryan language after Hindi. |
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| Challenge: | EmoNoBa is a dataset for fine-grained emotion detection on Bangla text . it is based on 22698 comments from social media sites on 12 domains . |
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| Challenge: | low-resource languages like Bangla are limited by the lack of datasets. |
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| Challenge: | Large language models (LLMs) have achievedremarkable success across various natural lan-guage processing tasks. |
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BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset (2022.aacl-short)
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| Challenge: | Bangla is considered a low resource language in terms of language processing. |
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| Challenge: | Existing word embeddings in Bangla struggle to perform well on low-resource data sets. |
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Syed Mohammed Sartaj Ekram, Adham Arik Rahman, Md. Sajid Altaf, Mohammed Saidul Islam, Mehrab Mustafy Rahman, Md Mezbaur Rahman, Md Azam Hossain, Abu Raihan Mostofa Kamal
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