What Is Text Analytics?

Text analytics is a technology powered by artificial intelligence that uses natural language understanding to mine unstructured text-based data for meaning and insights. This is a tool companies leverage to extract high-quality information from the massive amounts of data they collect from sources like customer feedback, social media discussions, employee reviews, surveys, and online product reviews to systematically identify themes, patterns, and trends. For more information, read our beginner’s guide to text analytics.

Text Analytics FAQs

What are the benefits of using text analytics?

The benefits of text analytics are what make it such an incredibly powerful tool. By analyzing text data, businesses can gain a deeper understanding of the customer experience (CX) and employee experience (EX), analyze employee and customer sentiment, identify trends, and make data-driven decisions. This technology not only helps enhance the overall CX and EX, but also allows businesses to optimize their operations and improve efficiency.

What is text analytics used for?

Text analytics applications span various areas, including analyzing employee and customer feedback, monitoring social media, and identifying trends. With its ability to extract actionable knowledge, text analytics is a versatile tool that enhances decision-making and understanding in today’s data-driven world.

What are other terms for text analytics?

Other terms for text analytics include text mining, natural language processing, information extraction, and content analysis.

What is text analytics software?

Text analytics software is a tool or platform designed to analyze text data and provide in-depth insights. It utilizes natural language processing, machine learning algorithms, and other techniques to process vast amounts of unstructured text data quickly and accurately. Text analytics software is an essential component for businesses looking to leverage the power of text analytics efficiently.

How can businesses use text analytics?

There are numerous ways that businesses can use text analytics to their advantage. Some popular applications include understanding employee and customer feedback, improving product and service offerings through sentiment analysis, identifying emerging trends and topics in social media discussions, and analyzing online reviews to enhance the overall employee and customer experience.

Other Terms Related to Text Analytics

• Path Analysis
• People analytics
• Social listening
• Speech analytics
• Sentiment
• Website analytics
• Voice of the customer (VoC)
• Root Cause Analysis
• Customer analytics
• App analytics