The healthcare industry faces many challenges when it comes to keeping the data it produces clean and organized. Due to the high volumes of data accrued every...
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Text analytics in finance | Data mining in the financial sector
In a day and age where technological integration has become deeply rooted in everyone’s lives, the ability to manage information has become essential for the...
Sentiment analysis vs text analysis
For decades, marketing teams and customer service experts have tried to find the most accurate methods to understand how customers feel. The appeal and...
10 features to look for in a text analytics platform
AI-based analytics platforms have demonstrated how versatile they can be and how quickly they can optimize any set of data. They are absolutely worth...
Guide to text analytics for call centers
Text-based interactions are a fundamental part of the relationship between a brand and its customers. People are more eager than ever to express their...
What can businesses learn from text mining?
The increase in global data available poses a real challenge for businesses, but text mining tools can help deal with large amounts of unstructured data....
What is text analytics used for?
Quantitative text data is extremely common in online user feedback (e.g., measures like Net Promoter Score, Customer Effort Score, and Customer Satisfaction),...
What is sentiment analysis?
Machine learning, natural language processing (NLP) and other data analysis techniques are used in sentiment analysis in order to assess and obtain objective quantitative findings from raw text.
Unstructured Data, Why it Matters, and How to Leverage 90% of Your Data
What is Unstructured Data and Why use it? Briefly, Unstructured Data is a term that “…refers to information that either does not have a pre-defined data model...