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Text classification

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The need

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.

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The solution

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.

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Time reduced significantly for newspaper article analysis.

Employee’s time is optimized.


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