• Tushar Nemade
• Saloni Telang
• Payal Shah
• Gayatri Bhalerao
• Prof. Nikhil Dhavase

Web based CQA system come in to the focal point when user searches question. Any web based customer searches on the internet online and QA system provides the answers using similar keywords and the same concept. Because of that sometimes user do not acquire the proper answers of asked question. For that exploration on the QA system is going on, which work on the social-based Q&A systems that rely on an asker’s social friends to supply answers. However, this method cannot find answers for a question which does not belong to the asker’s interests. So, considering this difficulty, the new system CQA is proposed. This system improves the reply latency and answer quality in both the social domain and global domain. It uses neural network based friend position method to identify answerer candidates by considering social nearness and Q&A activities. In existing works, we used poor tie assisted social based potential answerer location algorithm and an interest coefficient based unclassified question forwarding algorithm. In this paper we are also having forum support when user do not get suitable answer, and so user takes part in online conversation. Sometime user enters wrong question at time posting, so using the fuzzy vocabulary we accurate the words which help system to work correctly. The main aim is to eliminate the word difference problem using the Lesk algorithm

"To get the best answers from the expert with the help of data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.104-108, May-2019, Available :http://www.jetir.org/papers/JETIR1905F18.pdf

"To get the best answers from the expert with the help of data mining technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp104-108, May-2019, Available at : http://www.jetir.org/papers/JETIR1905F18.pdf