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

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. Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis.

Customer Feedback 83

Customer Feedback AI Machine Learning Social Media 83

SurveySensum

JULY 15, 2022

The text analytics feature identifies the emotions behind each response and groups them accordingly. Customizable analytics & branding. Provides chatbots and other technologies. It offers extensive integration support and provides real-time analytics. . Comes with built-in sentiment analysis tools.

E-commerce 52

E-commerce NPS Sentiment Analysis ML 52

InteractionMetrics

JULY 10, 2023

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Used properly, AI can extract meaning from unstructured text. Early chatbots were text-based and provided a limited set of pre-composed answers.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40