If the media control the mind of the masses, then AI can help them to read the mind too.

Understanding the reader’s sentiment towards certain topics may help the media to produce better news. We worked with national mainstream media to create an information extraction and sentiment classification system using Natural Language Processing.

The Challenge

Media produce textual data (news) on a daily basis that potentially form public opinion towards certain topics. The ability to classify the sentiment towards news produced becomes a valuable asset for the company that helps them maintain the quality of the news and set a suitable tone.

The Solution

We developed an information extraction model and applied sentiment analysis with the latest technique called Natural Language Processing to automatically analyze various news stories and turn client’s textual data into digestible insights.

The Outcome

  • Correctly classify 70% whether a certain news stories have neutral, positive or negative sentiment
  • Cluster and summarize multiple news automatically.