Organizations generate volumes of data in the form of documents, chatbots, product reviews, social media, server logs etc. Most of this data is unstructured text, and manually extracting information from this raw text data can be difficult and expensive.
In today's information-flooded world, it is crucial to process large volumes of unstructured data to get insights and trends. Further visualization of this data, enables us to take better decisions.
Text Analytics is the process of transforming unstructured data into evocative data to understand feedbacks, opinions and sentiments. We are sure you must be interested to know about Text Analytics phases, Common Computational steps and our Text Analytics expertise.
Our bloggers are the test management experts at QASource. They are executives, QA managers, team leads, and testing practitioners. Their combined experience exceeds 100 years and they know how to optimize QA efforts in a variety of industries, domains, tools, and technologies.