Smart Cloud Document Clustering and plagiarism checker using TF-IDF Based on Cosine Similarity
Journal Title: GRD Journal for Engineering - Year 2017, Vol 2, Issue 5
Abstract
This research paper describes the results oriented from experimental study of conventional document clustering techniques implemented in the commercial spaces so far. Particularly, we compared main approaches related to document clustering, agglomerative hierarchical document clustering and K-means. Though this paper, we generates and implement checker’s algorithms which deals with the duplicacy of the document content with the rest of the documents in the cloud. We also generate algorithm required to deals with the classification of the cloud data. The classification in this algorithm is done on the basis of the date of data uploaded and. We will take the ratio of both vectors and generate a score which rates the document in the classification.
Authors and Affiliations
Sudhir Sahani, Rajat Goyal, Saurabh Sharma, Shaili Gupta
Keywords
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