Predicting the “helpfulness” of online consumer reviews JP Singh, S Irani, NP Rana, YK Dwivedi, S Saumya, PK Roy Journal of Business Research 70, 346-355, 2017 | 524 | 2017 |
Ranking online consumer reviews S Saumya, JP Singh, AM Baabdullah, NP Rana, YK Dwivedi Electronic commerce research and applications 29, 78-89, 2018 | 125 | 2018 |
Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review PK Roy, S Saumya, JP Singh, S Banerjee, A Gutub CAAI Transactions on Intelligence Technology 8 (1), 95-117, 2023 | 85 | 2023 |
Predicting the helpfulness score of online reviews using convolutional neural network S Saumya, JP Singh, YK Dwivedi Soft Computing, Springer 24, 10989–11005, 2019 | 83 | 2019 |
Detection of spam reviews: a sentiment analysis approach S Saumya, JP Singh Csi Transactions on ICT, Springer 6 (2), 137-148, 2018 | 73 | 2018 |
Spam review detection using LSTM autoencoder : an unsupervised approach S Saumya, JP Singh Electronic Commerce Research, springer, 2020 | 56 | 2020 |
A comparative analysis of machine learning techniques for disaster-related tweet classification A Kumar, JP Singh, S Saumya 2019 IEEE R10 Humanitarian Technology Conference (R10-HTC)(47129), 222-227, 2019 | 52 | 2019 |
Offensive language identification in Dravidian code mixed social media text S Saumya, A Kumar, JP Singh Proceedings of the first workshop on speech and language technologies for …, 2021 | 48 | 2021 |
Combating the infodemic: COVID-19 induced fake news recognition in social media networks S Biradar, S Saumya, A Chauhan Complex & Intelligent Systems 9 (3), 2879-2891, 2023 | 35 | 2023 |
NITP-AINLP@ HASOC-Dravidian-CodeMix-FIRE2020: A Machine Learning Approach to Identify Offensive Languages from Dravidian Code-Mixed Text A Kumar, S Saumya, JP Singh FIRE (Working Notes). CEUR, 384-390, 2020 | 30 | 2020 |
Hate or non-hate: Translation based hate speech identification in code-mixed hinglish data set S Biradar, S Saumya, A Chauhan 2021 IEEE international conference on big data (Big Data), 2470-2475, 2021 | 26 | 2021 |
NSIT & IIITDWD@ HASOC 2020: Deep learning model for hate-speech Identification in Indo-European languages R Raj, S Srivastava, S Saumya FIRE 2020, 161-167, 2020 | 21 | 2020 |
Fighting hate speech from bilingual hinglish speaker’s perspective, a transformer-and translation-based approach. S Biradar, S Saumya, A Chauhan Social Network Analysis and Mining 12 (1), 87, 2022 | 20 | 2022 |
IIIT_DWD@ HASOC 2020: Identifying offensive content in Indo-European languages AK Mishraa, S Saumyab, A Kumara FIRE 2020, 139-144, 2020 | 20 | 2020 |
IIIT_DWD@ LT-EDI-EACL2021: hope speech detection in YouTube multilingual comments S Saumya, AK Mishra Proceedings of the First Workshop on Language Technology for Equality …, 2021 | 18 | 2021 |
Sequential purchase recommendation system for e-commerce sites S Saini, S Saumya, JP Singh IFIP International Conference on Computer Information Systems and Industrial …, 2017 | 18 | 2017 |
Predicting stock movements using social network S Saumya, JP Singh, P Kumar Conference on e-Business, e-Services and e-Society, Springer, 567-572, 2016 | 18 | 2016 |
Iiitdwd@ tamilnlp-acl2022: Transformer-based approach to classify abusive content in dravidian code-mixed text S Biradar, S Saumya Proceedings of the second workshop on speech and language technologies for …, 2022 | 17 | 2022 |
NITP-AI-NLP@ HASOC-FIRE2020: Fine Tuned BERT for the Hate Speech and Offensive Content Identification from Social Media A Kumara, S Saumyab, JP Singha | 17 | 2020 |
Are you a hero or a villain? A semantic role labelling approach for detecting harmful memes. S Fharook, SS Ahmed, G Rithika, SS Budde, S Saumya, S Biradar Proceedings of the workshop on combating online hostile posts in regional …, 2022 | 14 | 2022 |