Case Study

50% IMPROVED EXPERT IDENTIFICATION THROUGH NLP SOLUTIONS

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case Study

Our client wanted to automate the in-depth text data analysis and insights generation to analyze large volumes of unstructured data.


Challenges:



  • Manual analytical processes increased the time and effort for insights generation.

  • Many analysts were required to analyze data and create customized reports, which increased their resource management cost.

  • Manual processes became more tedious, and it affected the quality of analysis and reports.

  • Faster keyword identification was a challenge in the manual process.


The Zerone approach:


We are an NLP service provider that used our in-house NLP framework to solve the customer’s problem. We used this framework to create a customized application for our client. It could perform various functions like semantic search, Keyword Extraction, and sentiment analysis to name a few. Download the case study to know more.

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