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 78

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 78

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 147

Sentiment Analysis Text Analytics Machine Learning ML 147

SurveySensum

SEPTEMBER 23, 2024

Additionally, AI-driven text analytics provides real-time sentiment and trend analysis, and dynamic dashboards ensure that data is visualized clearly, making decision-making more efficient. ++ Plus Point: The product comes with CX consultation (inclusive of the pricing).

CX 52

CX Customer Experience Social Media CRM 52

SurveySensum

JULY 15, 2022

The text analytics feature identifies the emotions behind each response and groups them accordingly. It offers extensive integration support and provides real-time analytics. . Comes with built-in sentiment analysis tools. Equipped with advanced tools like AI, ML, etc. Features: . Can make real-time changes.

E-commerce 52

E-commerce NPS Sentiment Analysis ML 52

Lumoa

NOVEMBER 21, 2023

Thankfully, the most relevant AI development technologies evaluating customer feedback rely on sentiment analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

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. “…for most [machine learning] projects, the buzzword “AI” goes too far.

Unstructured Data 40

Unstructured Data B2B AI Customer Experience 40