Very well know that the complexity and volume of the data is increasing rapidly in some Crowdsourcing websites. The term Crowdsourcing means the action of outsourcing tasks, traditionally performed by an employee or contractor, which are now performed by a large group of people. It is more expensive and more time consuming process because of increase in rate of submission and so short listing the winners. Data submitted by crowdsourcing websites can be noisy, inconsistent. To overcome this problems related to data one of the method was proposed which named as text mining method; this method performs the number of operations like extraction of data, preprocessing process, tf-idf calculation and calculation of similarity. Results obtained by existing system shows that k-means algorithm with text mining methods do not do the entire trick of evaluating submissions. Hence proposed system uses hierarchical clustering algorithm with text mining methods and classification for relation submission to overcome the problems present in the existing system.

Apriori Algorithm Clustering Crowdsourcing Hierarchical clustering TDM (Term Document Matrix) IR (Information Retrieval).