@article{(Open Science Index):https://publications.waset.org/pdf/10000000,
	  title     = {A Comparative Analysis of Different Web Content Mining Tools},
	  author    = {T. Suresh Kumar and  M. Arthanari and  N. Shanthi},
	  country	= {},
	  institution	= {},
	  abstract     = {Nowadays, the Web has become one of the most
pervasive platforms for information change and retrieval. It collects
the suitable and perfectly fitting information from websites that one
requires. Data mining is the form of extracting data’s available in the
internet. Web mining is one of the elements of data mining
Technique, which relates to various research communities such as
information recovery, folder managing system and simulated
intellects. In this Paper we have discussed the concepts of Web
mining. We contain generally focused on one of the categories of
Web mining, specifically the Web Content Mining and its various
farm duties. The mining tools are imperative to scanning the many
images, text, and HTML documents and then, the result is used by
the various search engines. We conclude by presenting a comparative
table of these tools based on some pertinent criteria.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {9},
	  year      = {2014},
	  pages     = {1684 - 1688},
	  ee        = {https://publications.waset.org/pdf/10000000},
	  url   	= {https://publications.waset.org/vol/93},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 93, 2014},