Mental Health Analysis in Social Media Posts: A Survey M Garg Archives of Computational Methods in Engineering, 1-24, 2023 | 55* | 2023 |
CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Posts M Garg, C Saxena, V Krishnan, R Joshi, S Saha, V Mago, BJ Dorr Language Resources Evaluation Conference (LREC), 2022 | 40 | 2022 |
Identifying Influential Segments from Word Co-occurrence Networks using AHP M Garg, M Kumar Cognitive Systems Research, 2017 | 38 | 2017 |
Review on event detection techniques in social multimedia M Garg, M Kumar Online Information Review 40 (3), 347-361, 2016 | 35 | 2016 |
The structure of word co-occurrence network for microblogs M Garg, M Kumar Physica A: Statistical Mechanics and its Applications 512, 698-720, 2018 | 34 | 2018 |
Data augmentation for mental health classification on social media G Ansari, M Garg, C Saxena International Conference on Natural Language Processing (ICON), 2021 | 26* | 2021 |
Nbias: A natural language processing framework for BIAS identification in text S Raza, M Garg, DJ Reji, SR Bashir, C Ding Expert Systems with Applications 237, 121542, 2024 | 21 | 2024 |
A survey on different dimensions for graphical keyword extraction techniques: Issues and challenges M Garg Artificial Intelligence Review 54, 4731-4770, 2021 | 18 | 2021 |
UBIS: Unigram bigram importance score for feature selection from short text M Garg Expert Systems with Applications 195, 116563, 2022 | 14 | 2022 |
An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts M Garg, A Shahbandegan, A Chadha, V Mago Findings of Association of Computational Linguistics (ACL) 2023, 2023 | 10 | 2023 |
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts M Garg, C Saxena, D Samanta, BJ Dorr 28th International Conference on Natural Language & Information Systems …, 2023 | 10 | 2023 |
Explainable causal analysis of mental health on social media data C Saxena, M Garg, G Ansari International Conference on Neural Information Processing, 172-183, 2022 | 10 | 2022 |
TWCM: Twitter word co-occurrence model for event detection M Garg, M Kumar Procedia computer science 143, 434-441, 2018 | 10 | 2018 |
A review of the explainability and safety of conversational agents for mental health to identify avenues for improvement S Sarkar, M Gaur, LK Chen, M Garg, B Srivastava Frontiers in Artificial Intelligence 6, 1229805, 2023 | 9 | 2023 |
Multimodality for NLP-Centered Applications: Resources, Advances and Frontiers M Garg, S Wazarkar, M Singh, O Bojar Language Resources Evaluation Conference (LREC), 2022 | 9 | 2022 |
KEST: a graph-based keyphrase extraction technique for tweets summarization using Markov decision process M Garg, M Kumar Expert Systems with Applications 209, 118110, 2022 | 7 | 2022 |
Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health C Liyanage, M Garg, V Mago, S Sohn Proceeding of Biomedical Natural Language Processing (BioNLP), 2023 | 6 | 2023 |
Causal categorization of mental health posts using transformers S Kaur, R Bhardwaj, A Jain, M Garg, C Saxena Proceedings of the 14th annual meeting of the forum for information …, 2022 | 6 | 2022 |
ORR: optimized round robin CPU scheduling algorithm AK Gupta, P Mathur, CM Travieso-Gonzalez, M Garg, D Goyal Proceedings of the International Conference on Data Science, Machine …, 2021 | 6 | 2021 |
MultiWD: Multi-label wellness dimensions in social media posts M Garg, X Liu, M Sathvik, S Raza, S Sohn Journal of Biomedical Informatics 150, 104586, 2024 | 5* | 2024 |