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Searchengine for textdocuments.

First I want to collect 150 Text Documents related to the single topic .ie., Education.

when a query is given by the user it should return the documents which contains the query [url removed, login to view] returned documents should be in the order of the Relevance.(Relevance can be calculated by using tf-idf values).Most relevant Documents should appear first and till the least relevant [url removed, login to view] must be implemented in python 3.4

I was thinking to use the concepts of Tokenization by using Beautiful soup(to remove the stop words , to remove the HTML tags and to tokenize the words) , Indexing to know the term Frequency of words,posting list,.tf-idf to know the relevance of the Documents.

I want to run my program on python 3.4 console.

Квалификация: Python

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О работодателе:
( 0 отзыв(-а, -ов) ) devon, United States

ID проекта: #9047416

Поручен:

joriq

Hello. I already have a simple implementation of search engine using tf-idf ranking. It is written in python 2, so it will not be a big deal to convert the code to python 3.

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eaglepoint

Hi i am a software engineer Python as expertise. I have been working on python for last 2 years. I have sound knowledge of python apis. I have worked with python scrapper and have good expertise of scrapy. I have worke Больше

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ashishbhatiya18

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lubchenko05

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dheerajarremsett

Having very good skills in python, my skill will definitely help you. I can do this for you. Good Luck. Regards, Dheeraj Arremsetty

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