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Starscream-11813/BanglaBook

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The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.

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Starscream-11813/BanglaBookStarscream-11813/Ba…cc-by-nc-sa-4.0: declared licencecc-by-nc-sa-4…declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
Starscream-11813/BanglaBookStarscream-1181…cc-by-nc-sa-4.0: declared licencecc-by-nc-sa-4…declared licenceREADME.md ↗no licence file: found at top levelno licence fi…found at top levelfile list ↗
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Citation text from the card

If you find this work useful, please cite our paper:
```bib
@inproceedings{kabir-etal-2023-banglabook,
    title = "{B}angla{B}ook: A Large-scale {B}angla Dataset for Sentiment Analysis from Book Reviews",
    author = "Kabir, Mohsinul  and
      Bin Mahfuz, Obayed  and
      Raiyan, Syed Rifat  and
      Mahmud, Hasan  and
      Hasan, Md Kamrul",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.80",
    pages = "1237--1247",
    abstract = "The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of insight regarding the quality of a product. While the study of sentiment analysis has been widely explored in many popular languages, relatively less attention has been given to the Bangla language, mostly due to a lack of relevant data and cross-domain adaptability. To address this limitation, we present BanglaBook, a large-scale dataset of Bangla book reviews consisting of 158,065 samples classified into three broad categories: positive, negative, and neutral. We provide a detailed statistical analysis of the dataset and employ a range of machine learning models to establish baselines including SVM, LSTM, and Bangla-BERT. Our findings demonstrate a substantial performance advantage of pre-trained models over models that rely on m

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dataset_licence({ "id": "Starscream-11813/BanglaBook" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0