Dr. Ritu Chaturvedi

University of Guelph

About

Dr. Ritu Chaturvedi

I am an Assistant Professor at SoCS, University of Guelph. My research interests include data mining and machine learning, with a focus on:

  • Educational data mining
  • Text mining

Teaching

Courses

  • Currently teaching (Fall 2020):
    • CIS1300 - Programming
    • CIS1500 - Introduction to Programming
  • Previously taught:
    • CIS4900 - Computer Science Project
    • CIS1500 - Introduction to Programming
    • CIS3530 - Data Base Systems and Concepts
    • CIS1200 - Introduction to Computing

Research

Recent Publications

  1. Ezeife, C. I., Aravindan, V., & Chaturvedi, R. (2020). Mining Integrated Sequential Patterns From Multiple Databases. International Journal of Data Warehousing and Mining (IJDWM), 16(1), 1-21.
  2. Nguyen, J., & Chaturvedi, R. (in press, 2020). Quarantine Quibbles: A Sentiment Analysis of COVID-19 Tweets. IEEE 11th Annual Information Technology, Electronics and Mobile Communication Conference (IEEE IEMCON 2020).
  3. Chaturvedi, R., & Ezeife, C. I. (in press, 2020). Clustering Examples in Web-based Tutoring Systems Based on Relevance of Concepts. The Fourth International Conference on Intelligent Computing in Data Sciences ICDS2020.
  4. Ejieh, C., Ezeife, C. I., & Chaturvedi, R. (2019, April). Mining product opinions with most frequent clusters of aspect terms. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 546-549).
  5. Chaturvedi, R., Veerpal Brar., Jai Geelal,, Kevin Kong. Concept Extraction: A Modular Approach to Extraction of Source Code Concepts. In Computer and Information Technology (CIT), 2018 IEEE International Conference on (pp. 1860-1866). July 30th – Aug 3rd Halifax, Canada.
See Full List

Contact

(519)-824-4120 x 53986

Office: Reynolds Building 2211