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Dr Namita Mittal
Dr Namita Mittal
Verified email at mnit.ac.in - Homepage
Title
Cited by
Cited by
Year
Sentiment analysis using common-sense and context information
B Agarwal, N Mittal, P Bansal, S Garg
Computational intelligence and neuroscience 2015, 30-30, 2015
2272015
Recent developments in human gait research: parameters, approaches, applications, machine learning techniques, datasets and challenges
C Prakash, R Kumar, N Mittal
Artificial Intelligence Review 49, 1-40, 2018
2012018
Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy
A Agrawal, N Mittal
The Visual Computer 36 (2), 405-412, 2020
1792020
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
1542015
Hybrid approach for detection of anomaly network traffic using data mining techniques
B Agarwal, N Mittal
Procedia Technology 6, 996-1003, 2012
1212012
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
1182013
Machine learning approach for sentiment analysis
B Agarwal, N Mittal, B Agarwal, N Mittal
Prominent feature extraction for sentiment analysis, 21-45, 2016
1132016
Text classification using machine learning methods-a survey
B Agarwal, N Mittal
Proceedings of the Second International Conference on Soft Computing for …, 2014
1072014
Prominent feature extraction for sentiment analysis
B Agarwal, N Mittal
Springer International Publishing, 2016
1032016
Optimal feature selection for sentiment analysis
B Agarwal, N Mittal
Computational Linguistics and Intelligent Text Processing: 14th …, 2013
862013
Prominent feature extraction for review analysis: an empirical study
B Agarwal, N Mittal
Journal of Experimental & Theoretical Artificial Intelligence 28 (3), 485-498, 2016
782016
Sentiment classification using rough set based hybrid feature selection
B Agarwal, N Mittal
Proceedings of the 4th workshop on computational approaches to subjectivity …, 2013
622013
Texture‐based feature extraction of smear images for the detection of cervical cancer
M Arya, N Mittal, G Singh
IET Computer Vision 12 (8), 1049-1059, 2018
502018
Modeling Indian general elections: sentiment analysis of political Twitter data
K Singhal, B Agrawal, N Mittal
Information Systems Design and Intelligent Applications: Proceedings of …, 2015
472015
Semantic orientation-based approach for sentiment analysis
B Agarwal, N Mittal, B Agarwal, N Mittal
Prominent feature extraction for sentiment analysis, 77-88, 2016
422016
Deep learning-based approaches for sentiment analysis
B Agarwal, R Nayak, N Mittal, S Patnaik
Springer, 2020
412020
Categorical probability proportion difference (CPPD): a feature selection method for sentiment classification
B Agarwal, N Mittal
Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets …, 2012
412012
Image sentiment analysis using deep learning
N Mittal, D Sharma, ML Joshi
2018 IEEE/WIC/ACM international conference on web intelligence (WI), 684-687, 2018
342018
Identification of spatio-temporal and kinematics parameters for 2-D optical gait analysis system using passive markers
C Prakash, A Mittal, R Kumar, N Mittal
2015 International Conference on Advances in Computer Engineering and …, 2015
332015
Hybrid recommender system based on fuzzy clustering and collaborative filtering
SK Verma, N Mittal, B Agarwal
2013 4th international conference on computer and communication technology …, 2013
332013
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