Natural Language Processing Based Sentimental Analysis of Hindi (SAH) Script an Optimization Approach Hewan Shrestha, Chandramohan Dhasarathan, Shanmugam Munisamy, Amudhavel Jayavel International Journal of Speech Technology, 2020 Sentimental analysis is one of the most common applications of Natural Language Processing (NLP). Sentiment analysis, the term itself refers to identify the emotions and opinions of people through written text. It is concerned with information extraction from any text based on the polarity in social behavior whether it may be positive, negative or neutral. This paper presents a practical dynamic approach on to find the polarity of any sentence and analyse the opinion of the particular sentence. The proposed Sentimental Analysis of Hindi (SAH) script have adopted two different classifier Naïve Bayes Classifier and Decision Tree Classifier is used for the text extraction. The positive, neutral and negative result validation shows a comparative result of sentimental analysis.
RECENT SCHOLAR PUBLICATIONS
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation T Aidoo, T Koebe, A Maurya, H Shrestha, I Weber Workshop Proceedings of the 19th International AAAI Conference on Web and … , 2025 2025
Self-Supervision in Time for Satellite Images (S3-TSS): A novel method of SSL technique in Satellite images A Maurya, H Shrestha, MM Shahriar arXiv preprint arXiv:2403.04859 , 2024 2024
LLMRS: Unlocking potentials of LLM-based recommender systems for software purchase A John, T Aidoo, H Behmanush, IB Gunduz, H Shrestha, MR Rahman, ... arXiv preprint arXiv:2401.06676 , 2024 2024 Citations: 7
Detection and classification of dermatoscopic images using segmentation and transfer learning H Shrestha, SCB Jaganathan, C Dhasarathan, K Suriyan Multimedia Tools and Applications 82 (15), 23817-23831 , 2023 2023 Citations: 15
Face mask recognition based on two-stage detector H Shrestha, S Megha, S Chakraborty, M Mazzara, I Kotorov International Conference on Intelligent Systems Design and Applications, 576-585 , 2022 2022 Citations: 17
A deep learning based convolution neural network-DCNN approach to detect brain tumor H Shrestha, C Dhasarathan, M Kumar, R Nidhya, A Shankar, M Kumar Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020 … , 2022 2022 Citations: 17
Recent advances in edge computing paradigms: Taxonomy benchmarks and standards for unconventional computing S Sodanapalli, H Shrestha, C Dhasarathan, S Goundar Research Anthology on Edge Computing Protocols, Applications, and … , 2022 2022 Citations: 2
Evolution of fog computing applications, opportunities, and challenges: A systematic review H Shrestha, T Puviyarai, S Sodanapalli, C Dhasarathan International Journal of Fog Computing (IJFC) 4 (1), 1-17 , 2021 2021 Citations: 3
An NLP based sentimental analysis and prediction: a dynamic approach C Dhasarathan, H Shrestha International Conference on Communication, Networks and Computing, 343-353 , 2020 2020 Citations: 7
Natural language processing based sentimental analysis of Hindi (SAH) script an optimization approach H Shrestha, C Dhasarathan, S Munisamy, A Jayavel International Journal of Speech Technology 23 (4), 757-766 , 2020 2020 Citations: 35
MOST CITED SCHOLAR PUBLICATIONS
Natural language processing based sentimental analysis of Hindi (SAH) script an optimization approach H Shrestha, C Dhasarathan, S Munisamy, A Jayavel International Journal of Speech Technology 23 (4), 757-766 , 2020 2020 Citations: 35
Face mask recognition based on two-stage detector H Shrestha, S Megha, S Chakraborty, M Mazzara, I Kotorov International Conference on Intelligent Systems Design and Applications, 576-585 , 2022 2022 Citations: 17
A deep learning based convolution neural network-DCNN approach to detect brain tumor H Shrestha, C Dhasarathan, M Kumar, R Nidhya, A Shankar, M Kumar Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020 … , 2022 2022 Citations: 17
Detection and classification of dermatoscopic images using segmentation and transfer learning H Shrestha, SCB Jaganathan, C Dhasarathan, K Suriyan Multimedia Tools and Applications 82 (15), 23817-23831 , 2023 2023 Citations: 15
LLMRS: Unlocking potentials of LLM-based recommender systems for software purchase A John, T Aidoo, H Behmanush, IB Gunduz, H Shrestha, MR Rahman, ... arXiv preprint arXiv:2401.06676 , 2024 2024 Citations: 7
An NLP based sentimental analysis and prediction: a dynamic approach C Dhasarathan, H Shrestha International Conference on Communication, Networks and Computing, 343-353 , 2020 2020 Citations: 7
Evolution of fog computing applications, opportunities, and challenges: A systematic review H Shrestha, T Puviyarai, S Sodanapalli, C Dhasarathan International Journal of Fog Computing (IJFC) 4 (1), 1-17 , 2021 2021 Citations: 3
Recent advances in edge computing paradigms: Taxonomy benchmarks and standards for unconventional computing S Sodanapalli, H Shrestha, C Dhasarathan, S Goundar Research Anthology on Edge Computing Protocols, Applications, and … , 2022 2022 Citations: 2
A Weak Supervision Learning Approach Towards an Equitable Mobility Estimation T Aidoo, T Koebe, A Maurya, H Shrestha, I Weber Workshop Proceedings of the 19th International AAAI Conference on Web and … , 2025 2025
Self-Supervision in Time for Satellite Images (S3-TSS): A novel method of SSL technique in Satellite images A Maurya, H Shrestha, MM Shahriar arXiv preprint arXiv:2403.04859 , 2024 2024
