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

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

SurveySensum

JULY 2, 2023

Key Features Its text analytics features automatically tag and segment customers based on their feedback. The tool’s advanced analytics capabilities help identify growing trends and patterns in customer behavior. The capabilities include text analytics , predictive analysis, and trend analysis.

Customer Satisfaction 52

Customer Satisfaction Social Media Text Analytics Actionable Insights 52

SurveySensum

MAY 19, 2023

Use text analytics to understand common themes in customer comments. AI-Powered Analytics : Utilizes AI and ML algorithms to analyze open-text feedback and identify key themes, sentiments, and trends. Taking action on feedback: Banks often struggle to convert the feedback received into actionable insights.

NPS 52

NPS Net Promoter Score Customer Loyalty Close the Loop 52

Lumoa

NOVEMBER 21, 2023

It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives. 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