Automated categorization of student's query

Abstract

Students face many problems like mental stress, peer pressure, and health issues in college, but they do not report these due to lack of awareness, shy nature, or fear. This article proposes a platform that will unite students and the authority responsible for resolving these problems. The platform's core has a query classifier that uses text classification for categorizing the query. Text classification has already been used widely in many different problems like the chatbot, query categorization, intent, and detection. This is the first attempt to use text classification for categorizing students' queries. The query and category data have been collected from more than 400 students. Data pre-processing is done to convert textual data into numerical data. Dimensionality reduction has been applied in order to minimize the number of features. Five different machine learning (ML) approaches are applied to evaluate the performance of query categorization. K-fold cross-validation has been applied, and the ML approaches have been compared using accuracy, precision, recall, and F1-measure. The results show that Multi-Layer Perception with Back Propagation (MLP with BP) performs better than other classifiers in terms of all the metrics.

Keywords:

• Query categorization
• student issues
• text classification
• pre-processing
• machine learning

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Naveen Kumar

Naveen Kumar has done his Bachelors of Technology (Computer Science and Engineering) from U.P. Technical University, Lucknow. in 2012. He has done his M.Tech and Ph.D. from MNNIT Allahabad, Prayagraj, India. He is currently an Assistant Professor in the Department of CSE & IT. at JIIT Noida, Inida. He has a membership of IEEE and ACM. His research interest includes peer-to-peer systems, future internet technologies, network security, and Named Data Networking.

Hare Krishna

Hare Krishna is a final year student in Shiksha ‘O’ Anushandhan, Bhubaneshwar, India. His research interest includes Machine Learning and Artificial intelligence.

Shashi Shubham

Shashi Shubham is a final year student in Shiksha ‘O’ Anushandhan, Bhubaneshwar, India. His research interest includes Robotics and Computer Networks.

Prabhu Padarbind Rout

Prabhu Padarbind Rout is a final year student in Shiksha ‘O’ Anushandhan, Bhubaneshwar, India. His research interest includes Machine Learning and Artificial intelligence.