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Stack Overflow (SO) is a question-and-answer (Q&A) site for programmers in need of assistance. You can ask a question for Stack Overflow, and the community will provide help/answers to suit. You can reward an answer for others that are useful to you. This makes the SO site popular. The Stack Overflow site has more than 40 million users. To find quality answers, we wrote a script using the dataset provided on Stack Overflow. We extracted information of questions and showed that the Machine Learning (ML) skills of the users are as important as the complex tags that a user has for his posts. It is different from the dataset that is present in the English Language Papers on Computer Science, Librarianship and Information Science Collections which teach several information retrieval (IR) and retrieval models (for example, BM25) (Singhal et al. 2009) and mention the role of business intelligence (BI) applications and the business case of using the appropriate search engine. We analyze the use of ML and proven techniques to extract information from the data and classify it efficiently. d2c66b5586