Papers by Khondoker Ittehadul Islam
EmoNoBa: A Dataset for Analyzing Fine-Grained Emotions on Noisy Bangla Texts (2022.aacl-short)
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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 . |
| Approach: | They propose a manually annotated dataset of 22,698 Bangla comments from social media sites on 12 different domains to use for fine-grained emotion detection. |
| Outcome: | The proposed dataset of 22,698 public comments on 12 domains shows that hand-crafted features perform better than neural networks and pre-trained language models. |
SentNoB: A Dataset for Analysing Sentiment on Noisy Bangla Texts (2021.findings-emnlp)
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| Challenge: | Bangla is the sixth most spoken language worldwide and the second Indo-Aryan language after Hindi. |
| Approach: | They propose an annotated sentiment analysis dataset made of informally written Bangla texts. |
| Outcome: | The proposed dataset is compared with neural networks and pretrained models . it shows that hand-crafted lexical features provide superior performance than neural networks . |