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Better understand and analyse large amounts of text data coming from customer interactions.
Automate news classification that appears on the web (Ex:news).
Understand customer sentiment.
Identify and classify languages coming from different countries.
Create AI models based on the historical classification.
Web scraping to find any type of news related to the company.
Create retrain pipelines to guarantee a continuous improvement of the models.
Integration of the new process internally among the teams.
Time reduced significantly for newspaper article analysis.
Employee’s time is optimized.
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