| Sentiment analysis on product reviews using machine learning techniques RS Jagdale, VS Shirsat, SN Deshmukh Cognitive Informatics and Soft Computing: Proceeding of CISC 2017, 639-647, 2019 | 240 | 2019 |
| Data analytics for the identification of fake reviews using supervised learning SN Alsubari, SN Deshmukh, AA Alqarni, N Alsharif, TH Aldhyani, ... Computers, Materials & Continua 70 (2), 3189-3204, 2022 | 160 | 2022 |
| Sentiment classification using machine learning techniques SV Wawre, SN Deshmukh International Journal of Science and Research (IJSR) 5 (4), 819-821, 2016 | 137 | 2016 |
| Development of integrated neural network model for identification of fake reviews in E-commerce using multidomain datasets SN Alsubari, SN Deshmukh, MH Al-Adhaileh, FW Alsaade, THH Aldhyani Applied Bionics and Biomechanics 2021, 2021 | 49 | 2021 |
| Document level sentiment analysis from news articles VS Shirsat, RS Jagdale, SN Deshmukh 2017 international conference on computing, Communication, Control and …, 2017 | 41 | 2017 |
| Ensemble deep learning framework for stock market data prediction (EDLF-DP) V Ingle, S Deshmukh Global transitions proceedings 2 (1), 47-66, 2021 | 39 | 2021 |
| Sentiment analysis of events from Twitter using open source tool RS Jagdale, VS Shirsat, SN Deshmukh International Journal of Computer Science and Mobile Computing 5 (4), 475-485, 2016 | 39 | 2016 |
| Sentence level sentiment identification and calculation from news articles using machine learning techniques VS Shirsat, RS Jagdale, SN Deshmukh Computing, Communication and Signal Processing: Proceedings of ICCASP 2018 …, 2019 | 32 | 2019 |
| Comparision between accuracy and MSE, RMSE by using proposed method with imputation technique VB Kamble, SN Deshmukh Oriental journal of computer science and technology 10 (4), 773-779, 2017 | 31 | 2017 |
| Feature extraction for sentiment classification on twitter data AG Shirbhate, SN Deshmukh International Journal of Science and Research (IJSR) 5 (2), 2183-2189, 2016 | 31 | 2016 |
| Twitter based election prediction and analysis P Salunkhe, S Deshmukh International Research Journal of Engineering and Technology 4 (10), 539-544, 2017 | 25 | 2017 |
| Fake reviews identification based on deep computational linguistic SN Alsubari, MB Shelke, SN Deshmukh International Journal of Advanced Science and Technology 29 (8), 3846-3856, 2020 | 19 | 2020 |
| Sentiment analysis of indian government schemes using twitter datasets BR Naiknaware, S Kawathekar, SN Deshmukh IOSR Journal of Computer Engineering 1, 70-78, 2017 | 19 | 2017 |
| Different approaches of sentiment analysis SB Moralwar, SN Deshmukh Int. J. Comput. Sci. Eng 3 (3), 160-165, 2015 | 15 | 2015 |
| Hidden Markov model implementation for prediction of stock prices with TF-IDF features V Ingle, S Deshmukh Proceedings of the International Conference on Advances in Information …, 2016 | 14 | 2016 |
| Comparative study on approaches of recommendation system RK Sorde, SN Deshmukh International Journal of Computer Applications 118 (2), 2015 | 12 | 2015 |
| Automatic news extraction system for Indian online news papers YW Wanjari, VD Mohod, DB Gaikwad, SN Deshmukh Proceedings of 3rd International Conference on Reliability, Infocom …, 2014 | 12 | 2014 |
| Recent advances in sentiment analysis of Indian languages MB Shelke, SN Deshmukh International Journal of Future Generation Communication and Networking 13 …, 2020 | 11 | 2020 |
| Sentiment analysis on product reviews using machine learning techniques: proceeding of CISC 2017 R Jagdale, V Shirsath, S Deshmukh Cognitive Informatics and Soft Computing, Advances in Intelligent Systems …, 2019 | 11 | 2019 |
| Opinion Mining in Twitter–Sarcasm Detection S Parveen, SN Deshmukh Politics 1200, 125, 2017 | 11 | 2017 |
Dr. Rajkumar S. JagdaleAssistant Professor, Vishwakarma University, PuneVerified email at vupune.ac.in
