Lumoa

JANUARY 24, 2024

That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. When to use text analytics This situation is where automated text analytics in customer feedback is brought in: it can help in sorting out the key topics talked about and reveal the general sentiment per topic.

Text Analytics 83

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 83

DMG Consulting

JUNE 8, 2021

Current Status of Speech (and Text) Analytics. Interaction analytics removes the mystery from customer conversations. Analytics-enabled QM has been talked about for at least 12 years and has been available to some degree for 10 of them.

Text Analytics 107

Text Analytics Contact Center VOC Artificial Intelligence 107

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). That’s where text analysis, or text mining, comes into play.

Sentiment Analysis 157

Sentiment Analysis Text Analytics Machine Learning ML 157

SurveySensum

NOVEMBER 8, 2023

CX automation involves leveraging technologies such as AI (artificial intelligence) and RPA (robotic process automation) to automate customer support and marketing campaigns, collect and analyze customer feedback, and personalize customer experience. In this blog, we are going to explore the hot topic of CX automation from A to Z.

CX 52

CX Customer Experience Artificial Intelligence NPS 52

SurveySensum

MAY 19, 2023

Artificial Intelligence: With AI, banks can improve and automate their customer support, making the service more efficient. Use text analytics to understand common themes in customer comments. This way, they can tailor their services to meet customer needs, enhancing the customer experience.

NPS 52

NPS Net Promoter Score Customer Loyalty Close the Loop 52

Lumoa

NOVEMBER 21, 2023

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

InteractionMetrics

JULY 10, 2023

Artificial Intelligence is rapidly infiltrating new markets, and the customer experience sector is no exception. While customer experience artificial intelligence is still nascent, AI for customer experience shows tremendous promise, both as a tool to measure experience and as a lever to improve it.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40