Abstract
As we all know that searching over the internet for the information and then filtering out the correct and right information is exhaustive and time consuming task. Even in the most popular and successful search engine Google searching the right information can expand across many web pages before encountering the web page with the right information. A more efficient and more efficient technique was developed to overcome this problem which made use of biomedical words in the documents for filtering the information for the searching purposes. This technique shows much more positive and efficient results. Here, in this paper we increase efficiency and effectiveness through the use of NLP. This technique shows much more improved results
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Shukla, R.S., Yadav, K.S., Rizvi, S.T.A., Haseen, F. (2015). An Efficient Mining of Biomedical Data from Hypertext Documents via NLP. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_73
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DOI: https://doi.org/10.1007/978-3-319-11933-5_73
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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