eglobalis

MARCH 30, 2025

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Crucially, real-time feedback isnt limited to explicit ratings or comments.

AI 326

AI CX Sentiment Analysis Predictive Analytics 326

SurveySensum

OCTOBER 29, 2024

With the help of advanced analytics in the customer service process, you can optimize and streamline your activities and improve your customer experience. So, let’s discover how contact center analytics can help you gain actionable insights about this touchpoint and your overall business and optimize your operations.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

SurveySensum

SEPTEMBER 11, 2024

. → Here’s the list of the top 7 Customer Journey Analytics tools Real-time Monitoring : Implementing real-time monitoring via in-app feedback, website pop-ups, chatbots, social media, web analytics, etc, will help you capture immediate customer responses and enable you to act in real time.

Predictive Analytics 52

Predictive Analytics AI Customer Experience Text Analytics 52

SurveySensum

FEBRUARY 17, 2025

Text Analytics Tools. What Are Text Analytics Tools? In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. Lets find out more.

Text Analytics 52

Text Analytics Sentiment Analysis Social Media Machine Learning 52

SurveySensum

MARCH 3, 2025

Social media conversations often provide early signals of emerging trends, and text analytics helps brands detect these shifts. How text analytics helps Keyword & Hashtag Analysis: Identifies trending topics within an industry. Influencer Insights: Identifies key influencers shaping industry conversations.

Text Analytics 52

Text Analytics Social Media Sentiment Analysis AI 52

Sprinklr

OCTOBER 20, 2021

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Brands are awash in an ocean of unstructured data.

Social Media 85

Social Media CXM Unstructured Data Social Listening 85

SurveySensum

MARCH 7, 2025

It uses AI capabilities like NLP and machine learning to analyze, categorize, and interpret vast amounts of text-based healthcare data. Named Entity Recognition: Extracts key medical terms, symptoms, drug names, and diseases from unstructured data. Use predictive analytics to anticipate patient needs and improve care delivery.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52