Text Analytics

By applying Natural Language Processing (NLP) to available text data, we extract valuable information from all kinds of texts, whether they are conversation records, unformatted and unstructured texts, social media comments, etc.

With such a wide range of structured and unstructured data being generated, it is extremely important that companies become able to capture and interpret the information contained in texts messages and records. ​

Text analytics allows us to read, comprehend, classify and extract valuable information from texts. This capability enables automation, making machines able to deal naturally with human communication, and unlocks high value applications.

Text Analytics creates countless opportunities to improve and automate processes for different fields and industries because many strategic activities are dependent of human language and communication.

At DHAUZ we have a team of scholars and skilled professionals that are capable of handling the most common challenges of text analytics:

Evaluate the complexity

Get an accurate and formal assessment of the complexity level of a given text analytics task, with annotation guidance and the creation of a high quality corpora.

Collect and extract data

Text records can contain a multitude of information, but just a few will generate immediate value. To help improve how much value you can capture from these texts, it’s important to define the structures needed, to search for specific named objects and/or relationships among relevant objects.

Social Media monitoring

It is extremely valuable for a company to be able to track and monitor what clients and prospects are posting about the products and services on social media.

Commercial applications

We have the solutions that can help your company transform unstructured data into applications that create direct value to the business, such as automatic translations, speech recognition, chatbots, natural language search engines and text classification.