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      Aita Consulting Services, Inc. is a U.S. specialty staffing supplier to vendor-neutral MSP/VMS clients. Our methodology embraces the efficiency of MSP/VMS/VMO programs and leverages their capability to minimize client cost and maximize response time, coverage and compliance. An industry-specific Dedicated Account Management Team, with a single point of contact, deals directly with you to ensure that candidates we submit have the experience, credentials and talent to perform at the highest level and are also matched to your business climate and goals.

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Automatic news alert system using traditional machine learning

Automatic news alert system using traditional machine learning

Use case:

It is an automated process which scrapes and extracts data from the various websites and needs to collect data by departments. This is to help government departments be aware of  news being published about them in different news feeds. An ML algorithm was trained to identify relevant news feeds and relevant departments that would be interested to know about the news published. At inference time, ML algorithm is provided various news feeds from which it identifies news that are related to different departments and delivers them to official  mail ids of related departments like secretariat, cabinets, and other officials. The final output of this process is the machine scraping the latest updated information for every hour based on the reserved keywords and mail them to their respective departments.

Steps involved for collecting initial data:
  1. Collected websites URL’s and edition names of news sources.
  2. Permission from the proper edition owner (if it was private).
  3. Manual person for Segregation.
  4. Filter some reserved keywords
  5. Train the model with the keywords
  6. Prediction with above model
  7. Results sent in the email format
Data gathering:

Nowadays gathering the complete information is a very hard task. Machine needs to crawl the information from different websites initially using some python pre-built libraries. A program can webscrape the news items and then store those news in the database.

Data Segregation:

Once the machine collected sufficient data, using some traditional machine learning algorithms it can identify a few keywords pertinent to various departments and finally share the information with the relevant departments.