Journals:

• Sourav Das, Soumitra Ghosh, Asif Ekbal, Anup Kumar Kolya, “Unparalleled Sarcasm: A Framework of Parallel Deep LSTMs with Cross Activation Functions Towards Detection and Generation of Sarcastic Statements”, in Language Resources and Evaluation, Springer, 2023. DOI: https://doi.org/10.1007/s10579-022-09622-3. (Impact Factor: 2.7, SCI, Scopus, WoS, UGC CARE Indexed journal).

• Baishali Roy, and Sourav Das, “Perceptible sentiment analysis of students' WhatsApp group chats in valence, arousal, and dominance space.” Social Network Analysis and Mining 13.1 (2022): 1-19. DOI: https://doi.org/10.1007/s13278-022-01016-1. (Impact Factor: 2.8, SCI, Scopus, WoS, UGC- CARE Indexed journal). 

• Sourav Das, and Anup Kumar Kolya, “Predicting the pandemic: sentiment evaluation and predictive analysis from large-scale tweets on Covid-19 by deep convolutional neural network”. Evolutionary Intelligence, (2021) 14, 1 (1-22). DOI: https://doi.org/10.1007/s12065-021-00598-7. (Impact Factor: 2.6, SCI, Scopus, WoS, UGC Care Indexed journal).

• Sourav Das, Dipankar Das, & Anup Kumar Kolya, “Sentiment classification with GST tweet data on LSTM based on polarity-popularity model”. Sādhanā 45, 140 (2020), Springer. DOI: https://doi.org/10.1007/s12046-020-01372-8. (Impact Factor: 1.6, SCI, Scopus, WoS, UGC Care Indexed journal).

• Sourav Das and Anup Kumar Kolya. “Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation.” International Journal of Distributed Artificial Intelligence (IJDAI) 12, no. 2 (2020): 1-20. DOI: 10.4018/IJDAI.2020070101. (DBLP, ACM Digital Library, IET Inspec Indexed journal).

• Sourav Das and Anup Kumar Kolya, “Text Features Modeling and Sampling with Bi-LSTM Network for Satire Detection from Sentiments”, in Journal of The Institution of Engineers (India): Series B (Springer), 2022. (Under Revision) (SCI, Scopus, UGC-CARE List Indexed Journal).

Conferences:

• Sourav Das, Sanjay Chatterji, and Imon Mukherjee. "AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training.” Proceedings of the 1st Workshop on Towards Knowledgeable Language Models (KnowLLM 2024), ACL Anthology, 2024. 

• Sourav Das, Sanjay Chatterji, and Imon Mukherjee, “Combating Hallucination and Misinformation: Factual Information Generation with Tokenized Generative Transformer”, In the Joint 3rd International Conference on Natural Language Processing for Digital Humanities (NL4DH) & 8th International Workshop on Computational Linguistics for Uralic Languages (IWCLUL), 2023 [ACL Anthology].

• Sourav Das, Prasanta Mandal and Sanjay Chatterji, “Probabilistic Impact Score Generation using Ktrain-BERT to Identify Hate Words from Twitter Discussions”, In the 13th Meeting of Forum for Information Retrieval Evaluation (FIRE 2021).

• Sourav Das, Anup Kumar Kolya and Subhasree Basu, “An End-to-End Topic-Based Sentiment Analysis Framework from Twitter using Feature Set Cumulation ”, In International Conference on Industrial Instrumentation & Control (ICI2C-2021).

• Sourav Das and Anup Kumar Kolya, “Parallel Deep Learning-Driven Sarcasm Detection from Pop Culture Text and English Humor Literature”, In First International Conference on Research and Applications in Artificial Intelligence (RAAI 2020).

• Arunava Kumar Chakraborty, Sourav Das and Anup Kumar Kolya, “Sentiment Analysis of Covid-19 Tweets using Evolutionary Classification based LSTM Model”, In First International Conference on Research and Applications in Artificial Intelligence (RAAI 2020).

• Sourav Das, Dipankar Das, and Anup Kumar Kolya. “An Approach for Sentiment Analysis of GST Tweets Using Words Popularity Versus Polarity Generation.” In Computational Intelligence in Pattern Recognition. Springer, Singapore, 2020. 69-80.

• Sourav Das and Anup Kumar Kolya, “A Theoretic Approach to Music Genre Recognition from Musical Features using Single Layer Feedforward Neural Network”, In International Conference on Emerging Technologies in Data Mining and Information Security 2018 (IEMIS 2018), Springer, Singapore, 2018.

• Sourav Das and Anup Kumar Kolya. “Sense GST: Text mining & sentiment analysis of GST tweets by Naive Bayes algorithm.” In Research in Computational Intelligence and Communication Networks (ICRCICN), 2017 Third International Conference on, pp. 239-244. IEEE, 2017.

• Arpita Bhattacharya, Sourav Das, Avijit Gayen, and Nilotpal Chakraborty. “HAP: Hierarchical attachment process for mobile nodes in nested network mobility.” In IEEE Region 10 Symposium (TENSYMP), 2017, pp. 1-4. IEEE, 2017.

Book Chapters:

• Arunava Kumar Chakraborty and Sourav Das, “A Comparative Study of Natural Language Research and Novel Approach with Baseline Attributes Leading to Sentiment Analysis of Web-Based Covid-19 Corpora”, In Computational Intelligence Applications for Sentiment Data Analysis (CIASDA), in Hybrid Computational Intelligence for Pattern Analysis and Understanding series, Elsevier, 2023. 

• Sourav Das, Anup Kumar Kolya, Arindam Kundu, “Video Summarization Using a Dense Captioning (DenseCap) Model”, in volume titled Intelligent Multi-Modal Data Processing, Wiley Publishing, 2021. 95-125.  ISBN: 978-1-119-57138-4. [Video Demonstration: DensCap Model ].

• Sourav Das, Anup Kumar Kolya, and Dipankar Das. “Optimizing Social Media Data Using Genetic Algorithm.” Metaheuristic Approaches to Portfolio Optimization. IGI Global, 2019. 126-153. DOI: 10.4018/978-1-5225-8103-1.ch006, ISBN13: 9781522581031 (Scopus Indexed).