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case study

GetSentiment Uses Webz.io to Enhance its Sentiment Analysis

case study

GetSentiment Uses Webz.io to Enhance its Sentiment Analysis

Webz.io
Read how GetSentiment used Webz.io's data to help businesses, especially in the hospitality industry, understand their customer's experiences better
GetSentiment provides a data analysis system that measures the emotional sentiment conveyed in free text. To be able to do that, the system required a reliable data provider to improve the quality of its own technology and to provide its customers with low latency access to mentions of their brands.

Using Webz.io, GetSentiment was able to help many in the hospitality industry, among others, such as restaurant managers, understand both their customers’ overall perception of their businesses and provided them with key insights into specific aspects of the guest experience such as ambiance, service, and food.
“Webz.io turned out to be unique in that it works as a web search engine, which ensures sufficient volume of user-generated content,” Viktor Pekar, an academic project member.
About GetSentiment
GetSentiment provides text analytics software-as-a-service (SaaS) allowing users to extract actionable data from natural text for better customer relationship management.
About Webz.io
Webz.io is the leading provider of machine-defined web data. It transforms the vast pool of web data from across the open and dark web into structured web data feeds, ready for machines to consume. Using Webz.io’s data, enterprises, developers, and analysts can now unlock the raw potential of web data.
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