| Emotion mining in social media data J Ranganathan, A Tzacheva Procedia Computer Science 159, 58-66, 2019 | 22 | 2019 |
| Action rules for sentiment analysis using Twitter AA Tzacheva, J Ranganathan, A Bagavathi International Journal of Social Network Mining 3 (1), 35-51, 2020 | 19 | 2020 |
| Action rules for sentiment analysis on twitter data using spark J Ranganathan, AS Irudayaraj, AA Tzacheva 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 51-60, 2017 | 18 | 2017 |
| Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment J Ranganathan, AS Irudayaraj, A Bagavathi, AA Tzacheva Journal of Intelligent & Fuzzy Systems 34 (5), 2849-2863, 2018 | 15 | 2018 |
| Actionable pattern discovery for tweet emotions A Tzacheva, J Ranganathan, SY Mylavarapu Advances in Artificial Intelligence, Software and Systems Engineering …, 2020 | 14 | 2020 |
| Automatic detection of emotions in Twitter data: a scalable decision tree classification method J Ranganathan, N Hedge, AS Irudayaraj, AA Tzacheva Proceedings of the Workshop on Opinion Mining, Summarization and …, 2018 | 14 | 2018 |
| Multi-label emotion mining from student comments A Tzacheva, J Ranganathan, R Jadi Proceedings of the 4th International Conference on Information and Education …, 2019 | 13 | 2019 |
| Text Summarization using Transformer Model J Ranganathan, G Abuka 2022 Ninth International Conference on Social Networks Analysis, Management …, 2022 | 8 | 2022 |
| Emotion mining from student comments a lexicon based approach for pedagogical innovation assessment T Angelina, J Ranganathan European journal of education and applied psychology, 3-13, 2018 | 7 | 2018 |
| Pattern Discovery from Student Feedback: Identifying Factors to Improve Student Emotions in Learning AA Tzacheva, J Ranganathan International Journal of Educational and Pedagogical Sciences 14 (12), 1260-1265, 2020 | 5 | 2020 |
| Sentiment Analysis of Tweets Using Deep Learning J Ranganathan, T Tsahai International Conference on Advanced Data Mining and Applications, 106-117, 2022 | 3 | 2022 |
| Analysis of Topic Modeling with Unpooled and Pooled Tweets and Exploration of Trends During COVID J Ranganathan, T Tsahai International Journal of Computer Science, Engineering, and Applications 11 …, 2021 | 1 | 2021 |
| Emotion Classification using Recurrent Neural Network and Scalable Pattern Mining AA Tzacheva, J Ranganathan, MPS Velsamy, S Kulkarni | 1 | 2021 |
| Emotion Mining and Attribute Selection for Actionable Recommendations to Improve Customer Satisfaction AA Tzacheva, J Ranganathan, P Rajurkar, ZW Ras | 1 | 2021 |
| Hybrid scalable action rule: Rule based and object based J Ranganathan, S Sharma, AA Tzacheva Proceedings of the 2020 4th International Conference on Compute and Data …, 2020 | 1 | 2020 |
| Emotion Mining from Text and Actionable Pattern Discovery J Ranganathan The University of North Carolina at Charlotte, 2020 | 1 | 2020 |
| Improving the Efficiency of Multimodal Approach for Chest X-Ray J Upadhya, J Vargas, K Poudel, J Ranganathan International Conference on Advances in Computing Research, 47-59, 2024 | | 2024 |
| Improved Classification of Alzheimer’s Disease With Convolutional Neural Networks S Muhammed, J Upadhya, S Poudel, M Hasan, K Donthula, J Vargas, ... IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 1-7, 2023 | | 2023 |
| Review of Machine Learning Applications and Datasets in Classification of Acute Leukemia J Ranganathan International Journal of Data Mining and Knowledge Management Process 11 (6 …, 2021 | | 2021 |
| Emotion mining from text for actionable recommendations detailed survey J Ranganathan, AA Tzacheva International Journal of Data Mining, Modelling and Management 12 (2), 143-191, 2020 | | 2020 |
Arunkumar BagavathiOklahoma State UniversityVerifierad e-postadress på okstate.edu
