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Basant Agarwal
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Sentiment analysis using common‐sense and context information
B Agarwal, N Mittal, P Bansal, S Garg
Computational intelligence and neuroscience 2015 (1), 715730, 2015
2992015
Optimizing semantic LSTM for spam detection
G Jain, M Sharma, B Agarwal
International Journal of Information Technology, 1-12, 2018
1932018
Spam detection in social media using convolutional and long short term memory neural network
G Jain, M Sharma, B Agarwal
Annals of Mathematics and Artificial Intelligence 85 (1), 21-44, 2019
1832019
Concept-level sentiment analysis with dependency-based semantic parsing: a novel approach
B Agarwal, S Poria, N Mittal, A Gelbukh, A Hussain
Cognitive Computation 7, 487-499, 2015
1752015
Machine learning approach for sentiment analysis
B Agarwal, N Mittal, B Agarwal, N Mittal
Prominent feature extraction for sentiment analysis, 21-45, 2016
1522016
A deep network model for paraphrase detection in short text messages
B Agarwal, H Ramampiaro, H Langseth, M Ruocco
Information Processing & Management 54 (6), 922-937, 2018
1452018
Sentiment analysis of hindi reviews based on negation and discourse relation
N Mittal, B Agarwal, G Chouhan, N Bania, P Pareek
Proceedings of the 11th workshop on Asian language resources, 45-50, 2013
1412013
Common sense knowledge based personality recognition from text
S Poria, A Gelbukh, B Agarwal, E Cambria, N Howard
Advances in Soft Computing and Its Applications: 12th Mexican International …, 2013
1402013
Text classification using machine learning methods-a survey
B Agarwal, N Mittal
Proceedings of the Second International Conference on Soft Computing for …, 2014
1322014
Hybrid approach for detection of anomaly network traffic using data mining techniques
B Agarwal, N Mittal
Procedia Technology 6, 996-1003, 2012
1312012
Sentiment analysis of social media response on the Covid19 outbreak
M Bhat, M Qadri, M Kundroo, N Ahanger, B Agarwal
Brain, behavior, and immunity 87, 136, 2020
1262020
Prominent feature extraction for sentiment analysis
B Agarwal, N Mittal
Springer International Publishing, 2016
1212016
Optimal feature selection for sentiment analysis
B Agarwal, N Mittal
Computational Linguistics and Intelligent Text Processing: 14th …, 2013
1012013
Prominent feature extraction for review analysis: an empirical study
B Agarwal, N Mittal
Journal of Experimental & Theoretical Artificial Intelligence 28 (3), 485-498, 2016
872016
Dependency-based semantic parsing for concept-level text analysis
S Poria, B Agarwal, A Gelbukh, A Hussain, N Howard
Computational Linguistics and Intelligent Text Processing: 15th …, 2014
852014
Spam detection on social media using semantic convolutional neural network
G Jain, M Sharma, B Agarwal
Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and …, 2020
782020
One-shot cluster-based approach for the detection of COVID–19 from chest X–ray images
VNM Aradhya, M Mahmud, DS Guru, B Agarwal, MS Kaiser
Cognitive Computation 13 (4), 873-881, 2021
772021
Deep learning-based approaches for sentiment analysis
B Agarwal, R Nayak, N Mittal, S Patnaik
Springer 12, 319, 2020
772020
A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19
P Harjule, A Rahman, B Agarwal
Journal of Interdisciplinary Mathematics 24 (2), 411-424, 2021
732021
Deep LDA: A new way to topic model
MR Bhat, MA Kundroo, TA Tarray, B Agarwal
Journal of Information and Optimization Sciences 41 (3), 823-834, 2020
712020
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학술자료 1–20