Portfolio

How we surface customer complaints, wants and needs through text analysis?

Feedback from customers trickles in from different sources including social sources (e.g. Twitter), customer surveys, user reviews and customer support conversations. All this data put together is a gold mine for understanding what customers REALLY want. Unfortunately, due to the complexity of such data, it is hard …

How we automatically organize large amounts of text data with topics?

Making sense of volumes of text data in surveys, legal documents, websites, customer support tickets and discussion threads can be daunting. This is why organizations are turning to tags, labels and topics to help organize all of their data. Unfortunately, not all organizations can afford …

How we use Natural Language Processing for market research?

In order for companies to innovate, build new product lines and understand the effects of certain product groups and chemical interactions, manual analysis of scientific articles is typically needed. Manual research can be very time consuming and researchers have started turning to automated methods with …