Lumoa

JANUARY 24, 2024

That’s where text analytics in customer feedback proves to be one of the most valuable tools for any business. And if you want to become a real change-maker in your organization, you need to learn how to extract insights from customer feedback. However, first, you have to know where to look!

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

Lumoa

NOVEMBER 21, 2023

It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives. Therefore, the most optimal analytics solution is to merge machine learning and human intelligence. Lumoa’s analytics is built on top of this philosophy.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

SurveySensum

NOVEMBER 8, 2023

Personalized chatbots : They use NLP (natural language processing) and ML (machine learning) to understand not only the customer’s query but their intent and sentiment as well. Businesses must also employ AI-enabled tools like Text Analytics to analyze the data collected from feedback and extract trends and patterns.

CX 52

CX Customer Experience Artificial Intelligence NPS 52

InteractionMetrics

JULY 10, 2023

“…for most [machine learning] projects, the buzzword “AI” goes too far. It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype?

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40