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Results and Inference Obtained from a Small Implementation of the DF-ICF- The Modified TF-IDF

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Vidya Kamath

Vidya Kamath. Results and Inference Obtained from a Small Implementation of the DF-ICF- The Modified TF-IDF. International Journal of Computer Applications 166(1):20-23, May 2017. BibTeX

	author = {Vidya Kamath},
	title = {Results and Inference Obtained from a Small Implementation of the DF-ICF- The Modified TF-IDF},
	journal = {International Journal of Computer Applications},
	issue_date = {May 2017},
	volume = {166},
	number = {1},
	month = {May},
	year = {2017},
	issn = {0975-8887},
	pages = {20-23},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2017913877},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


DF-ICF is an algorithm designed by modifying the well known TF-IDF, for the purpose of improving the performance and reliability. The work mainly presents the validation of this new algorithm. The algorithm has been implemented with Hadoop using Cloudera, VMware and WampServer in order to conduct experiments. It also presents the results of an experiment conducted on the algorithm. Finally, the performance of the algorithm is predicted based on assumptions by comparing it with that of the TF-IDF. Overall it was found out that DF-ICF is actually better than TF-IDF.


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TF-IDF, DF-ICF, Cosine Similarity, Document, Term, Corpus