03-06-2021 дата публикации
Номер: AU2021100441A4
Автор:
SRIVENKATESH M,
SITHA RAM M,
REVATHI V,
HIMABINDU G,
SHANTHI D,
KUMARI CH LAKSHMI,
SANTHI J ARUNA,
BISWAS PIALI,
SHEETAL A PHANI,
SILAS S,
Srivenkatesh, M.,
Sitha Ram, M.,
Revathi, V.,
HimaBindu, G.,
Shanthi, D.,
Kumari, Ch.Lakshmi,
Santhi, J.Aruna,
Biswas, Piali,
sheetal, A.Phani,
Silas, S.
Принадлежит:
A METHOD OF TEXT MINING IN RANKING OF WEB PAGES USING MACHINE LEARNING A Web browser is a Software application for accessing the information from World Wide Web, displays the Web Pages based on the text keyword inputs from the Search Engine. The ranking of the Web Pages will vary from none Search Engine to another Search Engine. When user entered a query in the Search Engine, it should return relevant Web Pages related to the query by ranking the Web Pages. There are several factors affecting the ranking of the Web Pages such as content of pages, Title tags, URL structures, Meta Description Tags, XML Sitemap, Social Network Contents, Blog Forum Contents, and Videos. The Text Mining is an Artificial Intelligence technique for Text analytics to transform the unstructured Text in the documents and databases into normalized structured data. The existing Search Engines such as Google, Yahoo, Ask, and Bing produces numerous links for web pages which may or may not relevant for the search query ...
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