Datahut Partners With Freetext to Help Brands Improve Their Online Reputation and Sales

Datahut, an enterprise-grade web data extraction platform, and freetext, a deep learning based text analysis platform, today announces a new strategic partnership to help brand improvement online sales and sales. This partnership will combine mining deep meaningful insights from unstructured textual feedback data.

The collaboration between Datahut's experienced in acquiring large scale structured data from the web and the Freetext. AI's cutting edge NLP and Machine learning technology will provide greater value to business This feedback, in the form of user reviews, chats, emails, and surveys, can be used to improve customer satisfaction, draw effective business roadmaps, and embedded scatters at various distributed locations. product based on consumer feedback.

Commenting on the partnership Tony Paul, co-founder and Head of Sales at Datahut said.

This partnership will help you to unlock new insights about customer feedback and improve your brand equity and sales. It is the only solution available in the market. their reputation and sales

Dyuti Barma, co-founder at FreeText said,

In the internet age, the voice is the customer is stronger than ever before.

The partnership between Freetext and Datahut shall provide businesses with all the tools they need to listen to consumer feedback from multiple online sources, derive deep actionable insights and build a truly customer-centric company.

Read more about why this partnership makes sense and why brands should use it:

About Freetext Free
Text is a new age text analysis platform that Leverages cutting-edge technology in Natural Language Processing (NLP) and Machine learning to extract meaning and insights from unstructured textual feedback data such as user reviews, chats, emails, surveys, support tickets, etc.

Free insights from customer feedback from multiple sources into data-driven actionable insights and insights. The insights from the insights into product roadmaps and drive real business impact-driving forces .