This paper is published in Volume-6, Issue-4, 2020
Area
Computer Science Engineering
Author
Gada Shrenika
Co-authors
Ch. Ramya, A. Rajashekar Reddy
Org/Univ
BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India
Pub. Date
10 July, 2020
Paper ID
V6I4-1166
Publisher
Keywords
Machine Learning, Multi-class classification, Text Classification, Binary Relevance, Classifier Chains, Label Powerset, K-Nearest Neighbours, Logistic Regression, Tags, TF-IDF vectorizer, Countvectorizer

Citationsacebook

IEEE
Gada Shrenika, Ch. Ramya, A. Rajashekar Reddy. Stacklite – Stack overflow tag prediction, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Gada Shrenika, Ch. Ramya, A. Rajashekar Reddy (2020). Stacklite – Stack overflow tag prediction. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Gada Shrenika, Ch. Ramya, A. Rajashekar Reddy. "Stacklite – Stack overflow tag prediction." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

Nowadays data plays a major role in every aspect of our life. The past data that is available can be used for analysis and to predict the future. For websites that are based on learning, the old data which the users are posting and tagging can be used to analyze and predict what new implementations can be done to increase the user experience. Similarly, Stack Overflow is the largest learning forum that is used by most of the developers to learn and share their programming knowledge. To post a question, users need to enter the tags related to the question manually. Here we are analyzing the past available data to predict the tags automatically based on the question a user enters which increases the enhancement of user experience.
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