Background
Monitoring customer experience and company sentiment involves activities to retrieve heterogeneous information, in terms of linguistic and content domain characteristics present on the Web and social platforms.
Monitoring customer experience and company sentiment involves activities to retrieve heterogeneous information, in terms of linguistic and content domain characteristics present on the Web and social platforms.
Tool based on ML and NLP technologies to optimize the process of understanding, scraping, and clustering sentiment identified in customer-generated textual information.
The solution made it possible to minimize the margin of error,
optimize the process of understanding, scraping, and clustering data, and reduce system maintenance costs.