Overview

The intent of Sentiment analysis application is to automatically collate News/Stories from various News Agencies, Social Media Networks and News Portals and conduct Sentiment analysis through Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The idea is to help Governments, Businesses and Celebrities to sense public perception, understand their needs and take appropriate corrective actions.

Benefits

Benefits of the Sentiment Analysis Tool are as under: -

  • Collates News/Stories automatically from various News Agencies at regular intervals.
  • Collates News/Stories and Reactions from various Social Media Networks such as Facebook, Twitter, Instagram etc.
  • Categorizes News/Stories based on State, District, City, Block or Village.
  • Categorizes News/Stories based on Department, Product, Service etc.
  • Categorizes News/Stories based on Celebrity/Dignitary/Influencers.
  • Categorizes News/Stories based on News Agencies/Publishers.
  • Segments News/Stories/Reactions into Positive, Negative and Neutral Stories based on Natural Language Processing and Machine Learning algorithms.
  • Can automatically seek reaction/feedback from respective Department/Team on a News/Story and post the follow up against the reaction.

Key Features

Features of the Optical Probe based Spot Billing application are as under: -

  • Enables configuration of various Stakeholders and their roles.
  • Provides an Identity Management System to allow such Stakeholders to access the System based on the allocated roles.
  • Enables configuration of various Publication Houses viz. Newspapers, Journals, Magazines etc from which News/Stories are to be retrieved.
  • Enables configuration of various Social Media Networking Websites viz Facebook, Twitter, Instagram etc. from which News/Stories/Reactions are to be retrieved.
  • Enables configuration of various State, District, City, Block or Village of interest.
  • Enables configuration of Product/Service/Department of interest.
  • Enables configuration of various Celebrities, Dignitaries and Influencers of interest.
  • Enables configuration of various Categories of Stories.
  • Collates Stories published by various Publication Houses as an automated process at pre-scheduled intervals.
  • Groups/unGroup Similar Stories.
  • Segments News/Stories/Reactions as Positive, Negative or Neutral.
  • Seeks Response from respective Department and such Department to post his Response.
  • Provisions MIS Reports for further “what if analysis”.

Industries Served

Power
Gas
Urban Local Bodies
Cantonment Boards