Fuzzy Bag-of-Words Model for Document Representation

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Fuzzy Bag-of-Words Model for Document Representation

Fuzzy Bag-of-Words Model for Document Representation

Abstract

Fuzzy Bag-of-Words Model for Document Representation system project report in web mining deals with degrees of truth. In this Fuzzy Bag-of-Words Model for Document Representation management system project report in web mining project report paper, we have shown how to apply fuzzy logic in text mining in order to perform document clustering project on web mining and web security. We took an example of document clustering free project on web mining  where the documents had to be clustered into two categories. The  method involved cleaning up the text and stemming of words. Then, we chose ‘m’ features which differ significantly in their word frequencies (WF), normalized by document length, between documents belonging to these two clusters. The documents to be clustered were represented as a collection of ‘m’ normalized WF values.

Conclusion

In Fuzzy Bag-of-Words Model for Document Representation management system project report in web mining paper, we showed how one can use fuzzy logic in text mining to cluster documents by taking an example where the documents were clustered into two topics :- “sports” and “politics”. The advantage of Fuzzy Bag-of-Words Model for Document Representation management system project report in web mining using fuzzy logic  system over probability was that in the former, we could calculate the degree to which a given document project report belonged to either categories- “sports” as well as “politics”.
 
Project Name Fuzzy Bag-of-Words Model for Document Representation
Project Category Web mining and Security
Project Cost 65 $/ Rs 4999
Delivery Time 48 Hour
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