Summary of Banglishrev: a Large-scale Bangla-english and Code-mixed Dataset Of Product Reviews in E-commerce, by Mohammad Nazmush Shamael et al.
BanglishRev: A Large-Scale Bangla-English and Code-mixed Dataset of Product Reviews in E-Commerce
by Mohammad Nazmush Shamael, Sabila Nawshin, Swakkhar Shatabda, Salekul Islam
First submitted to arxiv on: 17 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The BanglishRev Dataset is the largest e-commerce product review dataset to date, consisting of 1.74 million reviews from online platforms targeting the Bengali population. The dataset includes metadata such as reviewer ratings, review dates, and response information. To evaluate its effectiveness for sentiment analysis tasks, a binary sentiment analysis model was trained on the data, achieving an exceptional accuracy of 94% and F1 score of 0.94. The paper discusses intriguing patterns and observations within the dataset and explores future research directions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The BanglishRev Dataset is super cool! It’s like a huge library of reviews from online stores that sell things to Bengali people. These reviews were written in different languages, including English and Bengali mixed together. People can use this data to make computers understand whether the review is positive or negative. The researchers tried doing just that and got really good results! They also found some interesting things about what’s being reviewed and who’s writing the reviews. |
Keywords
» Artificial intelligence » F1 score
