Analysis of Titles from the Questions of the Stack OverflowCommunity Using Natural Language Processing (NLP)Techniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: Major online “Question and Answer” forums have proven to be of enormous help to programmersand developers from all parts of the world. One such important forum is the Stack Overflow community. In thispaper, we explore and analyze the title of a question posted on the Stack Overflow community and checkwhether the title abides by the set of rules and guidelines defined by the Stack Overflow community [1] and[3]. We also carry out sentiment analysis on the title to judge the virality [2] quotient of the question. Wepresent an application (or tool) developed using the Natural Language Toolkit (NLTK) and Py-stackexchangeAPI (Application Programming Interface) of Stack Overflow in Python. Using this application, we determinethe sentiment of a given title and also judge whether the title is properly formatted or not. These findings aretaken into account to check whether the popularity of the question is affected by the format and sentiment ofthe title.
Authors and Affiliations
Tapan Kumar Hazra, Aryak Sengupta and Anirban Ghosh
Keywords
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