SurveySensum

FEBRUARY 24, 2025

Amongst many in the market, two techniques stand out Text analysis and Sentiment Analysis. What is Sentiment Analysis? Sentiment analysis , also called opinion mining, is a specialized form of text analysis that focuses on detecting the emotional tone behind a piece of text. What They Analyze?

Sentiment Analysis 52

Sentiment Analysis Text Analytics Social Media Machine Learning 52

eglobalis

JULY 2, 2024

Comprehensive feedback from multiple sources, integrating Voice of the Customer (VOC), metrics, measurements, data analytics, real-time sentiment analysis, and evolving AI developments, is essential for gaining a complete customer understanding.

NPS 461

NPS Customer Feedback Net Promoter Score B2C 461

Intercom, Inc.

MAY 22, 2019

We’re not going to make you think up an entire “Voice of the Customer” (VoC) program. So this is one framework that we use to guide SaaS businesses to execute a lean, but effective VoC program. Paige: What advice do you have product teams working on ML? We’re not SurveyMonkey. Deepa: It was chaos!

Voice of the Customer 199

Voice of the Customer Net Promoter Score Machine Learning ML 199

Lumoa

JANUARY 24, 2024

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. Lumoa lets you track VoC across multiple channels and monitor customer journeys as they progress. The result?

Text Analytics 78

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 78

SurveySensum

AUGUST 9, 2022

You can seamlessly enjoy templates for NPS, CES, CSAT, VoC, product experience, brand experience, and more. . 5 – Text & Sentiment Analysis. Text & Sentiment Analysis is one of the most sought-after features of survey platforms. Qualtrics offers sentiment analysis tools only on its advanced levels.

Sentiment Analysis 52

Sentiment Analysis NPS ML Start-ups 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

SurveySensum

JULY 15, 2022

Comes with built-in sentiment analysis tools. Equipped with advanced tools like AI, ML, etc. It offers extensive integration support and provides real-time analytics. . Features: . Offers enterprise-level survey tools. Lets you capture feedback from multiple sources. Can make real-time changes.

E-commerce 52

E-commerce NPS Sentiment Analysis ML 52