Fetching the paper…
Reading the bibliography…
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.
Sentiment analysis on bangla and romanized bangla text using deep recurrent models
Asif Hassan, Mohammad Rashedul Amin, Abul Kalam Al Azad, and Nabeel Mohammed. 2016 · 2016
Earlier work this paper cites.
Sentiment analysis of bengali comments with word2vec and sentiment information of words
Md. Al-Amin, Md. Saiful Islam, and Shapan Das Uzzal. 2017 · 2017
Earlier work this paper cites.
Sentiment analysis for bangla sentences using convolutional neural network
Md. Habibul Alam, Md-Mizanur Rahoman, and Md. Abul Kalam Azad. 2017 · 2017
Earlier work this paper cites.
Paulius Micikevicius, Sharan Narang, Jonah Alben, Gregory F. Diamos, Erich Elsen, David García, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, and Hao Wu. 2017 · 2017
Earlier work this paper cites.
Sentiment analysis on bangladesh cricket with support vector machine
Shamsul Arafin Mahtab, Nazmul Islam, and Md Mahfuzur Rahaman. 2018 · 2018
Earlier work this paper cites.
Detecting multilabel sentiment and emotions from bangla youtube comments
Nafis Irtiza Tripto and Mohammed Eunus Ali. 2018 · 2018
Earlier work this paper cites.
Datasets for aspect-based sentiment analysis in bangla and its baseline evaluation
Md Atikur Rahman and Emon Kumar Dey. 2018 · 2018
Earlier work this paper cites.
Bengali vader: A sentiment analysis approach using modified vader
Al Amin, Imran Hossain, Aysha Akther, and Kazi Masudul Alam. 2019 · 2019
Earlier work this paper cites.
ELECTRA: Pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning. 2020 · 2020
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
Earlier work this paper cites.
Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith. 2020 · 2020
Cited alongside, same era.
Emonoba: A dataset for analyzing fine-grained emotions on noisy bangla texts
Khondoker Ittehadul Islam, Md. Saiful Islam, and Md Ruhul Amin. 2020 · 2020
Cited alongside, same era.
An aspect-based sentiment analysis dataset for bengali and its baseline evaluation
Mahfuz Ahmed Masum, Sheikh Junayed Ahmed, Ayesha Tasnim, and Md Saiful Islam. 2020 · 2020
Cited alongside, same era.
BERTweet: A pre-trained language model for English tweets
Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020 · 2020
Cited alongside, same era.
Cross-lingual sentiment classification in low-resource bengali language
Salim Sazzed. 2020 · 2020
Cited alongside, same era.
BanglaBERT: Language model pretraining and benchmarks for low-resource language understanding evaluation in Bangla
Abhik Bhattacharjee, Tahmid Hasan, Wasi Ahmad, Kazi Samin Mubasshir, Md Saiful Islam, Anindya Iqbal, M. Sohel Rahman, and Rifat Shahriyar. 2022 · 2022
Later among the works it cites.
Bemoc: A corpus for identifying emotion in bengali texts
MD Iqbal, Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, and Iqbal H Sarker. 2022 · 2022
Later among the works it cites.
Emonoba: A dataset for analyzing fine-grained emotions on noisy bangla texts
Khondoker Ittehadul Islam, Tanvir Yuvraz, Md Saiful Islam, and Enamul Hassan. 2022 · 2022
Later among the works it cites.
DAMO-NLP at SemEval-2022 task 11: A knowledge-based system for multilingual named entity recognition
Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, and Yong Jiang. 2022 · 2022
Later among the works it cites.
BanglaNLG and BanglaT5: Benchmarks and resources for evaluating low-resource natural language generation in Bangla
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, and Rifat Shahriyar. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Emotion classification in a resource constrained language using transformer-based approach
Avishek Das, Omar Sharif, Mohammed Moshiul Hoque, and Iqbal H. Sarker. 2021 · 2021
Cited alongside, same era.
Distributed deep learning in open collaborations
Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, Quentin Lhoest, Anton Sinitsin, Dmitry Popov, Dmitriy Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, and Gennady Pekhimenko. 2021 · 2021
Cited alongside, same era.
SentNoB: A dataset for analysing sentiment on noisy Bangla texts
Khondoker Ittehadul Islam, Sudipta Kar, Md Saiful Islam, and Mohammad Ruhul Amin. 2021 · 2021
Cited alongside, same era.
Abusive content detection in transliterated bengali-english social media corpus
Salim Sazzed. 2021 · 2021
Cited alongside, same era.
A survey on data augmentation for text classification
Markus Bayer, Marc-André Kaufhold, and Christian Reuter. 2022 · 2022
Cited alongside, same era.
Md. Arid Hasan, Shudipta Das, Afiyat Anjum, Firoj Alam, Anika Anjum, Avijit Sarker, and Sheak Rashed Haider Noori. 2023b
Cited in the paper.
Closest in time.
Blp-2023 task 2: Sentiment analysis
Md. Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, and Afiyat Anjum. 2023a · 2023
Closest in time.
Banglabook: A large-scale bangla dataset for sentiment analysis from book reviews
Mohsinul Kabir, Obayed Bin Mahfuz, Syed Rifat Raiyan, Hasan Mahmud, and Md Kamrul Hasan. 2023 · 2023
Closest in time.
SemEval-2023 task 12: Sentiment analysis for African languages (AfriSenti-SemEval)
Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Seid Muhie Yimam, David Ifeoluwa Adelani, Ibrahim Said Ahmad, Nedjma Ousidhoum, Abinew Ali Ayele, Saif Mohammad, Meriem Beloucif, and Sebastian Ruder. 2023 · 2023
Closest in time.
NLNDE at SemEval-2023 task 12: Adaptive pretraining and source language selection for low-resource multilingual sentiment analysis
Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, and Hinrich Schütze. 2023 · 2023
Closest in time.