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

SurveySensum

DECEMBER 4, 2024

Customer Experience (CX) Design: This is done to create a consistent, relevant, and meaningful experience at each business touchpoint. Doing so can help reduce waiting times, simplify the process, and ensure smooth interaction at every touchpoint. Use text analytics to understand common themes in customer comments.

NPS 52

NPS Net Promoter Score Close the Loop Customer Loyalty 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. We help you create cards in your dashboard that represent a specific touchpoint, location, or channel. Manage and follow the development of ongoing events to ensure that the right action is initiated.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

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). Looking for alternatives to Qualtrics ?

CX 52

CX Customer Experience Social Media Text Analytics 52

SurveySensum

JULY 15, 2022

It can help you create beautiful NPS, CES, CSAT, and all kinds of surveys at all the touchpoints across the customer journey. After gathering all the feedback in one place, it runs text analysis and gives you common insights. The text analytics feature identifies the emotions behind each response and groups them accordingly.

E-commerce 52

E-commerce NPS Sentiment Analysis ML 52

SurveySensum

JULY 2, 2023

Key Features Its text analytics features automatically tag and segment customers based on their feedback. Key Features You can map the entire customer journey , making understanding how users interact at each touchpoint easier. 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

Customer Experience (CX) Design: This is done to create a consistent, relevant, and meaningful experience at each business touchpoint. Doing so can help reduce waiting times, simplify the process, and ensure smooth interaction at every touchpoint. Use text analytics to understand common themes in customer comments.

NPS 52

NPS Net Promoter Score Customer Loyalty Close the Loop 52