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Collect Important or related news from newspapers and Web then categorize them using NPL. -- 2

Hello,

I would like to develop an Application to collect related information from newspaper i.e., news extraction and then separate them based on the criteria using machine learning algorithm like Natural Language Processing or other simple technologies. To extract news, we will use keywords like for example Road Accident, Power Generation, etc. In addition, we also want to collect images of an specific person or event using keyword like Donald Trump visits Italy, Vladimir Putin Visits China (these are just example). Our target is to collect information on various topics from newspaper and the Web site. Then this collected information will be used in different purpose as a reference. We also want to store this news / web site information by different category to use future. We have develop a program using Beautiful Soup which is a python library to scrape information from Web pages. But that was not an application. We want to develop an application so that it can be used by anyone.

We will use 2 language English and Bangla, and we have around 12 English newspapers and 12 Bangla newspapers. All newspapers are online based and they contain a searching option to find news from old newspaper / archive.

Please contact me if you have such experience and confident to develop this application.

Time: 5 to 10 days.

Regards,

Taka

Skills: Python, Machine Learning (ML), Natural Language, Research Writing, BeautifulSoup

About the Client:
( 6 reviews ) kawasaki, Japan

Project ID: #33748931

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pyanskiy

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