EArticle

Today internet has become a major source for data searching and scraping as per one?s need. The process of obtaining data through internet could be costly and time consuming. Also a lot of search engines are available on internet that provides all type of material and information whatever one may se

Project Title

EArticle

Project Area of Specialization

Artificial Intelligence

Project Summary

Today internet has become a major source for data searching and scraping as per one’s need. The process of obtaining data through internet could be costly and time consuming. Also a lot of search engines are available on internet that provides all type of material and information whatever one may search. There is a lot of extraneous and scattered information provided on the internet that wastes user’s time and confuses a user in such a way either it is useable or not. As having more competitive environment and to save our time we need to be more specific and concise. E-Article is a Web-application that saves user’s time. This application will allow the user to simply login in the web application, search their article according to interest, and application will lead them towards the best articles related to their interest. Extensive online searches and exploring websites of the key organizations were used to identify the data sources. Each data source was then carefully explored to describe its characteristics and contents. The data are usually aggregated over certain time periods and regions, and often
indexed by age, gender, application, website, activity and other attributes. Some data sources also support various data visualization options, and offer data export in multiple formats.
 

Project Objectives

To increase the efficiency of searching article by making the profile analysis and categorization and provide quality articles.
To show the only relevant and beast article to the user. User can also search by author, newspaper name, article name and category.
 

Project Implementation Method

Method 01 : Articles will be crawled from the websites of newspapers and many others.

Method 02 : Preprocessing on crawl data to make it clean and  in same format.

Method 03 :Categorization of documents to predict category of Articles.

Method 04 : Sentimental analysis to score articles

Method 05 : User Profile analysis i.e History,searching,interest

Benefits of the Project

• Save user's time 
• No need to explore all websites or newspapers to read relevant articles
• Provide top most relevent articles to users at one plateform
• Easy to use

Technical Details of Final Deliverable

Final Deliverable of our projects are

• Data crawling
• preprocessing
• Classiification
• Sentimental analysis
• user profile and behavior analysis 

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Media

Core Technology

Artificial Intelligence(AI)

Other Technologies

Big Data

Sustainable Development Goals

Quality Education

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com