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Project Description:

Our artificial intelligence-powered system analyzes social media data using natural language processing techniques to perform named entity recognition, anomaly detection, and sentiment analysis. These tools allow organizations to better understand and make sense of the vast amount of social media data generated every day, providing valuable insights to inform business decisions and improve operations

  • Client: Private Contractor
  • Category: ‎ ‎ Research AI-based
  • Country: Turkey
  • Date: 2019

Abnormality Detection

The abnormality Detection system involves the use of artificial intelligence to analyze social media data and extract valuable insights. We utilize natural language processing techniques to perform named entity recognition, anomaly detection, and sentiment analysis.

Our system allows you to gauge the overall sentiment expressed and identify and classify named entities such as people, organizations, and locations mentioned in social media posts. This can be useful for understanding how customers or the general public feel about your company, product, or service, and can help to improve the reputation and customer relationships.

Moreover, our system enables you to identify unusual events or patterns within the social media data, which can indicate potential problems or opportunities. This can help you to proactively address issues before they become major problems or to identify new growth opportunities.

Overall, our Abnormality Detection system helps to understand better and make sense of the vast amount of social media data that is generated every day, providing valuable insights that can inform business decisions and improve operations.

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