Zonka Feedback

MARCH 1, 2024

Sentiment analysis models that learn on labeled data are a common sight. The main challenge arises when you have unlabeled data at your disposal and you want to extract customer sentiments or emotions from it.

Analysis 59

Analysis Data Feedback Customers 59

Playvox

OCTOBER 20, 2023

Measuring how happy (or unhappy) customers are with your brand, service, support, and products — also known as customer sentiment — is challenging in an omnichannel contact center. What is Customer Sentiment Analysis? For example, does “it works fine” and “customer support was ok” mean customers are happy, upset, or indifferent?

Analysis 82

Analysis Contact Center Effort Score How To 82

CloudCherry

SEPTEMBER 2, 2018

Companies that realize the value of customer sentiment invest in specialized software to understand these insights and take action. The Value of Customer Sentiment Analysis Tools. Customer sentiment analysis breaks down what your customer says and feels about the brand experience. IMPROVE CUSTOMER EXPERIENCE NOW!

Analysis 207

Analysis Sales Feedback Software 207

Feedbackly

DECEMBER 14, 2023

One is the good old customer sentiment analysis, while the other is the customer emotions analytics. What is Customer Sentiment Analysis? Customer sentiment refers to how customers feel about a particular interaction or experience. Sentiment Analysis vs. Emotion Analytics: Which is Better?

Analysis 52

Analysis Analytics Software Metrics 52

CloudCherry

FEBRUARY 13, 2018

To ace customer loyalty, however, any brand requires a deep understanding of customer sentiment. The common drawbacks with most systems designed to unravel customer sentiment are that the process can be time-consuming, leading to inaccurate outcomes. How positive is the sentiment associated with website experience?

Analysis 186

Analysis Multi-Channel Trends Policies 186

Zonka Feedback

MARCH 5, 2024

What connection does sentiment analysis have with boosting NPS? While the Net Promoter Score (NPS) provides a valuable snapshot of customer loyalty, sentiment analysis highlights the underlying reasons behind a customer's score.

Net Promoter Score 59

Net Promoter Score NPS Analysis Loyalty 59

Zonka Feedback

OCTOBER 25, 2023

Introducing customer sentiment analysis - a window into the innermost thoughts of the customer. But what exactly, is sentiment analysis, and more importantly, how it can boost customer experiences? TL;DR Customer sentiment analysis enables businesses to understand their customer's thoughts.

Analysis 59

Analysis Feedback Social Media Survey 59

MiaRec

JUNE 16, 2023

Most Voice Analytics solutions for contact centers offer either Machine Learning-based or lexicon-based Sentiment Analysis to help you understand how customers are feeling during calls. What Is Sentiment Analysis? What Is Lexicon-based Sentiment Analysis?

Contact Center 66

Contact Center Analysis Return on Investment ROI 66

Helpware

JUNE 20, 2023

Sentiment analysis is a powerful tool that allows brands to understand their audiences' positive or negative perceptions. While sentiment analysis can benefit companies in any sector, retail companies may find it especially important since customers often have strong emotional perceptions about retail products and stores.

Analysis 70

Analysis Retail Brands Tools 70

Keatext

NOVEMBER 19, 2021

The post How customer sentiment analysis works appeared first on Keatext.

Analysis 98

Analysis Customers 98

AWS Machine Learning

NOVEMBER 22, 2022

The company’s marketing and customer service departments analyze these reviews to understand customer sentiment. Traditionally, this data is collected via a batch process and sent to a data warehouse for storage, analysis, and reporting, and is made available to decision-makers after several hours, if not days.

Analysis 68

Analysis CRM System Groups 68

Keatext

FEBRUARY 17, 2022

The post What is sentiment analysis? appeared first on Keatext.

Analysis 98

Analysis 98

Playvox

SEPTEMBER 14, 2022

To take control, you’ve got to understand customer sentiment — how customers feel about your product or service. What Is Customer Sentiment Analysis? A sentiment score assigns a value ranging from +1 (extremely positive) to -1 (extremely negative) for certain words or phrases customers might use.

Analysis 79

Analysis Social Media Contact Center Effort Score 79

Lumoa

JANUARY 8, 2024

This is where stepping up to a text analysis software or a comprehensive customer experience platform becomes a big move for your business. That’s where text analysis, or text mining, comes into play. What’s the intensity of these sentiments? It’s about making a strategic leap, not just keeping pace.

Analysis 394

Analysis Software Comparison Social Media 394

NetBase

JULY 20, 2020

Thanks to next-generation AI-powered consumer intelligences, social media sentiment analysis is now a mainstay of social analytics, but what exactly is it? Why is Sentiment Analysis Important? What is Social Sentiment Analysis? How does social sentiment analysis help then? Defining Sentiment.

Analysis 70

Analysis Social Media Analytics Consumers 70

Keatext

AUGUST 8, 2022

The post Top 5 Insights You Can Learn from Sentiment Analysis appeared first on Keatext.

Analysis 92

Analysis 92

Zonka Feedback

APRIL 26, 2024

Traditional methods of feedback analysis have enabled businesses to process feedback, fetch trends, predict behavior, and even assess pain points for several years. However, these platforms struggle to keep pace with the sheer volume and complexity of the feedback data pouring in from different data sources.

Analysis 59

Analysis Feedback Trends Customers 59

Kustomer

JANUARY 26, 2022

Customer sentiment analysis helps provide valuable insight into the mind of the customer and it empowers agents with data that allows them to go above and beyond, while also providing customers with an experience that promotes not only satisfaction , but also encourages loyalty. What Is Customer Sentiment Analysis?

Analysis 52

Analysis Multi-Channel Social Media Omni-Channel 52

InMoment XI

MARCH 5, 2024

Analyzing unstructured data requires more advanced techniques than standard data analysis. Normal data analysis won’t be able to tell you about a customer’s feelings related to your brand, and how those feelings will affect their interactions with your brand in the future. Where Does Unstructured Data Come From?

Data 260

Data Customer Experience Social Media Analysis 260

Keatext

OCTOBER 7, 2021

The post How sentiment analysis unlocks the voice of your employees appeared first on Keatext.

Analysis 97

Analysis 97

BirdEye

FEBRUARY 4, 2021

It’s a daunting task to identify sentiment themes and turn that data into actionable insights that your team can strategically leverage. Close off that Excel sheet, and let customer sentiment analysis be your guide to gain a clear understanding of what your customers are saying on a granular level. How sentiment analysis works.

Analysis 64

Analysis Multi-Channel Wait Times Feedback 64

InMoment XI

AUGUST 3, 2023

Emails, social media posts, customer reviews, call center transcripts, and open-ended survey responses—all hold crucial information about customer sentiment and preferences. However, it holds immense potential to unveil customer sentiments, emotions, and expectations, which can significantly impact business decisions.

Analytics 488

Analytics Customer Insights Data Social Media 488

iPerceptions

MARCH 16, 2021

Automated customer sentiment analysis is essential to understanding customers’ emotions. The post How Customer Sentiment Analysis Improves the Customer Experience appeared first on Astute. Voice of customer tools can identify key insights and drive quick action.

Analysis 62

Analysis Customer Experience Voice of Customer Customers 62

Thematic

DECEMBER 19, 2018

What is sentiment analysis? Let’s define sentiment analysis as a start. If we take your customer feedback as an example, sentiment analysis (a form of text analytics) measures the attitude of the customer towards the aspects of a service or product which they describe in text.

Analysis 63

Analysis Examples Social Media Measurement 63

InMoment XI

MARCH 18, 2024

Tapping into Unlimited Insights with AI While traditional surveys have long been a staple in understanding customer sentiment, relying solely on this method can limit the depth of insights. Every customer comment, whether from emails, social media, or customer service interactions, can be dissected for sentiment and emotion analysis.

Multi-Channel 260

Multi-Channel Analysis Social Media Survey 260

Thematic

JULY 12, 2018

Have you heard of Thematic analysis ? If you are working in insights or data analysis, you will have heard of Sentiment Analysis. Sentiment analysis is important because companies want their brand being perceived positively, or at least more positively than the brands of competitors.

Analysis 59

Analysis Poor Customer Service Wait Times Feedback 59

Magellan Solutions

JUNE 8, 2021

AI Sentiment Analysis Provides Excellent Support In Outsource Customer Service Solutions. How AI Sentiment Analysis Improves Outsource Customer Service Solutions Delivery. AI sentiment analysis is useful for customer service outsourcing companies. Natural language analysis. Text analysis.

Analysis 52

Analysis Customer Service Self Service CRM 52

InMoment XI

MARCH 28, 2022

Sentiment Analysis: Combine natural language processing (NLP) and machine learning techniques to assign weighted sentiment scores to the entities, topics, themes and categories within a sentence or phrase. Here’s an overview of your toolkit: Natural Language Processing Features.

Case Study 493

Case Study Financial Analysis Healthcare 493

Ascribe

OCTOBER 9, 2020

Sentiment analysis is used to understand the emotion behind verbatim comments from open-ended questionnaires. There are many ways to apply sentiment analysis in your business, from market research to employee surveys. What Does Sentiment Mean? Positive Sentiment Words. Negative Sentiment Words.

Analysis 45

Analysis Measurement Analytics Trends 45

Experience Investigators by 360Connext

FEBRUARY 20, 2024

Voice of the Customer (VoC) programs have leveraged some level of artificial intelligence (AI) in many ways already, including pattern recognition, predictive analytics, and sentiment analysis. Sentiment and Demographic Analysis: AI-powered tools simplify the process of extracting real-time feedback and spotting trends.

Analysis 270

Analysis Analytics Customer Relationship Management Feedback 270

NetBase

JANUARY 20, 2020

This makes sentiment analysis more important than ever, as not all memes are created equal, of course. And a brand’s place in ours: Get at the underlying sentiment. And that requires sentiment analysis, if you want to get it right. And that requires sentiment analysis, if you want to get it right.

Analysis 67

Analysis Brands Marketing Course 67

InMoment XI

JANUARY 12, 2024

By deciphering the nuances of customer interactions, businesses can gain valuable insights into preferences, sentiments, and pain points. This involves tasks such as tokenization (breaking text into words), syntactic analysis (parsing sentence structure), and semantic analysis (interpreting meaning).

e-support 260

e-support Healthcare Multi-Channel Call Center 260

NobelBiz

JULY 22, 2021

Marc rapidly discovered that post-call analysis and coaching were ineffective on their own, so after making the same costly mistakes on his phone calls, he founded a SaaS start-up, powered by Artificial Intelligence (AI). The post VIDEO: Sentiment Analysis and What to Do with It appeared first on NobelBiz®.

Analysis 52

Analysis Video 52

Ascribe

OCTOBER 9, 2020

Sentiment analysis is used to understand the emotion behind verbatim comments from open-ended questionnaires. There are many ways to apply sentiment analysis in your business, from market research to employee surveys.

Analysis 40

Analysis Measurement Survey Marketing 40

InMoment XI

MARCH 25, 2024

Harness NLP and Sentiment Analysis to Monitor Brand Reputation Predictive analytics can also have a significant impact on brand reputation management efforts, helping companies anticipate, monitor, and respond to potential reputation threats more effectively. There are many ways to try to automate this task.

Analytics 260

Analytics Examples Customer Experience Effort Score 260

NetBase

MARCH 8, 2019

When it comes to sentiment analysis , AI technology is a powerful advantage. What makes sentiment analysis so valuable is the way it contextualizes social conversations. A look at sentiment drivers for BMW and Mercedes. The post Advanced AI Sentiment Analysis: Conversational Context appeared first on NetBase.

Analysis 56

Analysis Chatbots Analytics Consumers 56

InMoment XI

NOVEMBER 30, 2023

It involves monitoring, influencing, and maintaining the overall sentiment surrounding a business to ensure a positive image. Happy customers become brand advocates, amplifying positive sentiments. This feature helps you understand the overall sentiment—positive, negative, or neutral—surrounding your business.

Brands 378

Brands Management Multi-Channel Social Media 378