| Sense GST: Text mining & sentiment analysis of GST tweets by Naive Bayes algorithm S Das, AK Kolya 2017 third international conference on research in computational …, 2017 | 46 | 2017 |
| Predicting the pandemic: sentiment evaluation and predictive analysis from large‑scale tweets on Covid‑19 by deep convolutional neural network S Das, A Kumar Kolya Evolutionary Intelligence 14 (1), 1-22, 2021 | 44 | 2021 |
| Sentiment analysis of covid-19 tweets using evolutionary classification-based LSTM model AK Chakraborty, S Das, AK Kolya Proceedings of Research and Applications in Artificial Intelligence: RAAI …, 2021 | 21 | 2021 |
| Sentiment classification with GST tweet data on LSTM based on polarity-popularity model S DAS, D DAS, AK KOLYA Sādhanā - Academy Proceedings in Engineering Sciences by Indian Academy of …, 2020 | 15 | 2020 |
| Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space B Roy, S Das Social Network Analysis and Mining 13 (1), 9, 2022 | 7 | 2022 |
| Unparalleled sarcasm: a framework of parallel deep LSTMs with cross activation functions towards detection and generation of sarcastic statements S Das, S Ghosh, AK Kolya, A Ekbal Language Resources and Evaluation 57 (2), 765-802, 2023 | 6 | 2023 |
| An approach for sentiment analysis of GST tweets using words popularity versus polarity generation S Das, D Das, AK Kolya Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020 | 6 | 2020 |
| A Theoretic Approach to Music Genre Recognition from Musical Features Using Single-Layer Feedforward Neural Network S Das, AK Kolya Emerging Technologies in Data Mining and Information Security: Proceedings …, 2019 | 5 | 2019 |
| Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions S Das, P Mandal, S Chatterji arXiv preprint arXiv:2111.12939, 2021 | 4 | 2021 |
| HAP: Hierarchical attachment process for mobile nodes in nested network mobility A Bhattacharya, S Das, A Gayen, N Chakraborty 2017 IEEE Region 10 Symposium (TENSYMP), 1-4, 2017 | 3 | 2017 |
| Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature S Das, AK Kolya Proceedings of Research and Applications in Artificial Intelligence: RAAI …, 2021 | 2 | 2021 |
| Detecting generic music features with single layer feedforward network using unsupervised Hebbian computation S Das, AK Kolya International Journal of Distributed Artificial Intelligence (IJDAI) 12 (2 …, 2020 | 2 | 2020 |
| An End-to-End Topic-Based Sentiment Analysis Framework from Twitter Using Feature Set Cumulation S Basu, S Das, AK Kolya Proceedings of International Conference on Industrial Instrumentation and …, 2022 | 1 | 2022 |
| Optimizing Social Media Data Using Genetic Algorithm S Das, AK Kolya, D Das Metaheuristic Approaches to Portfolio Optimization, 126-153, 2019 | 1 | 2019 |
| Combating Hallucination and Misinformation: Factual Information Generation with Tokenized Generative Transformer S Das, S Chatterji, I Mukherjee Proceedings of the Joint 3rd International Conference on Natural Language …, 2023 | | 2023 |
| A comparative study of a novel approach with baseline attributes leading to sentiment analysis of Covid-19 tweets AK Chakraborty, S Das Computational Intelligence Applications for Text and Sentiment Data Analysis …, 2023 | | 2023 |
| Video Summarization Using a Dense Captioning (DenseCap) Model S Das, AK Kolya, A Kundu Intelligent Multi‐modal Data Processing, 97-129, 2021 | | 2021 |
| A Theoretic Approach to Music Genre Recognition from Musical Features Using Single-Layer Feedforward Neural S Das, AK Kolya Emerging Technologies in Data Mining and Information Security: Proceedings …, 2018 | | 2018 |
| A Deep Learning Approach for Sentiment & Trend Analysis of GST Tweets in India using Topic-Sentiment Modeling S Das University of Technology, 2018 | | 2018 |
Dr. Anup Kumar KolyaAssistant Professoer,RCC Institute of Information TechnologyVerified email at rcciit.org.in
