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Prof. Anuj Sharma

- FPM (IIM Indore) - M. Tech (NIT Jalandhar) - B. E. (University of Rajasthan)
anuj@cimp.ac.in

Faculty List

Responsibilities

Unknown


Contact

anuj@cimp.ac.in

Research Area



Teaching Areas
- Management Information Systems
- Business Analytics
- Data and Text Mining
- E-Business Management

Research Areas
- Data Mining
- Artificial Intelligence
- Sentiment Analysis
- Information System Development

Journal publications
1. Sharma, A., & Dey, S. (2013). A Boosted SVM based Ensemble Classifier for Sentiment Analysis of Online Reviews. ACM SIGAPP Applied Computing Review (Under Revision)

2. Sharma, A., Dey, S., Panigrahi P. K., & Sadh A. (2013). Mining Marketing Intelligence from Online Reviews Using Sentiment Analysis. Journal of Interactive Marketing (Communicated)

3. Sharma, A., & Dey, S. (2013). Sentiment Analysis: A Review of the State of the Art, Challenges and Future Research Directions. Knowledge and Information Systems (Under Second Revision)

4. Sharma, A., & Dey, S. (2012). A Document-level Sentiment Analysis Approach using Artificial Neural Network and Sentiment Lexicons. ACM SIGAPP Applied Computing Review, 12(4), 67-75. Doi: 10.1145/2432546.2432552

5. Sharma, A., & Dey, S. (2012). Performance Investigation of Feature Selection Methods and Sentiment Lexicons for Sentiment Analysis. IJCA Special Issue on Advanced Computing and Communication Technologies for HPC Applications (3), 15-20.

6. Prajapati, M., & Sharma, A. (2012). Role of Web 2.0 in E-Governance. Indore Management Journal Special Issue. Refereed proceedings of 4th Conference on Excellence in Research and Education.

7. Sharma, A., & Panigrahi, P. K. (2012). A Review of Financial Accounting Fraud Detection based on Data Mining Techniques. International Journal of Computer Applications, 39(1):37-47, February 2012. Published by Foundation of Computer Science, New York, USA.

8. Sharma, A., & Panigrahi, P. K. (2011). A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services. International Journal of Computer Applications, 27(11), August 2011. Published by Foundation of Computer Science, New York, USA.

Conference presentations
1. Sharma, A., & Dey, S. (2013). A Boosted SVM based Sentiment Analysis Approach for Online Opinionated Text. International Conference on Reliable and Convergent Systems (RACS 2013). Montreal, QC, Canada. October 1-4, 2013 (Accepted)

2. Sharma, A., & Dey, S. (2013). Sentiment Analysis Using Self Organizing Maps. Knowledge and Information Management Conference (KIM2013) Meriden, UK. June 4-5, 2013.

3. Sharma, A., & Dey, S. (2012). A Comparative Study of Feature Selection and Machine Learning Techniques for Sentiment Analysis. Research in Applied Computation Symposium (ACM RACS 2012). Uni. of Texas, San Antonio, Texas, USA. October 23-26, 2012.

4. Sharma, A., & Dey, S. (2012). An Artificial Neural Network Based Approach for Sentiment Analysis of Opinionated Text. Research in Applied Computation Symposium (ACM RACS 2012). University of Texas at San Antonio, Texas, USA. October 23-26, 2012.

5. Sharma, A., & Dey, S. (2011). Agile or Plan-Driven: Software Development Methodology Selection Using Personality Traits of Developers. Proceedings of the UNIRAZAK's 2011 International Research Conference and Colloquium. Kuala Lumpur, Malaysia.

6. Ray, S., & Sharma, A. (2011). A Collaborative Filtering Based Approach for Recommending Elective Courses. 5th International Conference on Information Systems, Technology and Management (ICISTM-2011). Gurgaon, India.

7. Sharma, A., & Totawar, A. K. (2010). HR 2.0: Leveraging Social Media for Employment Engagement. International Conference & Colloquium' 2010. Indore, India.

8. Singh, A. N., & Sharma, A. (2010). The Impact of ICT on E-Governance Adoption and Acceptance. Excellence in Research and Education Conference (EREC'10). Indore, India.

9. Sharma, A., & Dhir, R. (2009). A Wordsets based Document Clustering Algorithm for Large Datasets. IEEE International Conference on Methods and Models in Computer Science (ICM2CS09). New Delhi, India.

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