SurveySensum

FEBRUARY 24, 2025

While both deal with analyzing text, they serve different purposes. First, What is Text Analytics? Text analysis , also known as text mining, is the process of extracting useful information from unstructured text data. Lets discuss the key differences and applications of sentiment analysis vs text analytics.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

Lumoa

MAY 16, 2024

Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. Because ML systems aren’t just coded; they’re trained. When we talk about ML systems, we’re referring to software that learns and adapts based on data.

Machine Learning 78

Machine Learning ML Engineering Text Analytics 78

SurveySensum

DECEMBER 4, 2024

Using NPS in finance industry can get to the heart of why customers would or wouldn’t recommend them to others. Follow the above-mentioned practices to improve the NPS finance. As a result, customers can manage their finances better and will build trust and loyalty with the bank. This is where Net Promoter Score comes into play.

NPS 52

NPS Net Promoter Score Close the Loop Customer Loyalty 52

SurveySensum

MAY 19, 2023

As a result, customers can manage their finance better and will build trust and loyalty with the bank. 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.

NPS 52

NPS Net Promoter Score Customer Loyalty Close the Loop 52