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.