Could text analytics be the unsung hero of big data? Text analytics mines reams of often ephemeral, unstructured data — from a voice recording of a customer call to emails or a Tweet — for ...

With the rapid evolution of big data analytics and with unstructured content making up an estimated 80% of organizations' data, financial enterprises have given significant attention to text mining.

This exercise demonstrated the power of the combination of rules-based text analytics and machine learning because, as Sabo noted, “The name of the organization is in free form text. It’s not in the ...

Here are the top 5 best text analytics software to process unstructured data into insightful ones. (Photo : Patrick Tomasso / Unsplash) Massive volumes of unstructured data are produced every minute.

Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...

Text analytics involves learning and using a new form of data. No matter your skill set, it will take time to understand what to do and how to apply it to the business.

3. Use specialized text analytics tools. If coding on public cloud platforms is too complex, and if your organization does not already have an analytics, data science, or machine learning platform ...

Most text analytics solutions are deployed as a bolt-on addition to existing data analytics stacks, which presents problems for agility, cost, time-to-market and scaling. Varada’s addition of Lucene ...

The text analytics methods in use include text clustering, sentiment analysis, topic identification, document classification, text extraction, entity extraction, and concept mining. These varied ...

These leading text analysis tools extract meaningful information and insights from textual data. Written by eWEEK content and product recommendations are editorially independent. We may make money ...