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.

Sentiment Analysis 59

Sentiment Analysis Machine Learning Social Media Customer Feedback 59

Lumoa

JANUARY 8, 2024

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). Sentiment Analysis: Picture this – Let’s say Apple launches its newest iPhone.

Sentiment Analysis 147

Sentiment Analysis Text Analytics Machine Learning ML 147

Zendesk

JANUARY 30, 2023

What is customer sentiment analysis? Customer sentiment analysis is when a company uses automation to examine feedback left by customers in surveys, social media posts, and so on. Customer sentiment analysis use cases extended beyond creating return customers, however.

Sentiment Analysis 98

Sentiment Analysis Net Promoter Score Social Media Actionable Insights 98

Beyond Philosophy

JULY 18, 2020

Machine Learning is a type of AI where machines attempt to learn from their mistakes. We learn from our mistakes; machines seek to do the same thing by making mistakes, recognizing them, sourcing them, and then fixing them moving forward. There are many types of AI.

Artificial Intelligence 114

Artificial Intelligence Machine Learning Sentiment Analysis AI 114

ECXO

MARCH 24, 2024

It can process information about a customer’s past purchases, browsing history, and even social media activity. Machine learning algorithms can predict what a customer may need next, allowing brands to provide proactive service. It’s like your website or app is learning and adapting on the fly!

AI 156

AI Customer Experience Social Media Machine Learning 156

Beyond Philosophy

AUGUST 25, 2022

However, he also says that these channels are likely to become Apps, like social media platform preferences, instead of communication channel preferences. Triant says the first thing to understand is that AI and machine learning toolsets can create these proactive experiences. So, What Do You Do with This?

Contact Center 147

Contact Center Sentiment Analysis Artificial Intelligence Start-ups 147

Qualtrics

NOVEMBER 19, 2021

What is sentiment analysis? Sentiment analysis is a powerful tool for monitoring and understanding contextual sentiment for any customer, employee, product, or brand experience. Why is sentiment analysis important? And this is where sentiment analysis algorithms come into play.

Sentiment Analysis 26

Sentiment Analysis Machine Learning Social Media Engineering 26

Zendesk

AUGUST 30, 2022

Rdentify for Support and Chat (Support) (Chat) brings together state-of-the-art machine learning and linguistics technology to provide customer protection. MessageBird by Ulgebra (Sell) enables users to manage their conversations using various social media platforms in one place through MessageBird.

Social Media 98

Social Media Sentiment Analysis Machine Learning Technology 98

Lumoa

APRIL 28, 2024

Platform Overview Medallia is a cloud-based CX management software that provides survey features, sentiment analysis, social listening, and AI-powered insights. Since Qualtrics is a rather versatile solution, you can also do advanced statistical analysis such as regression, cluster, and correlation analysis.

Sentiment Analysis 78

Sentiment Analysis Compliance AI Social Media 78

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. but also to produce future content that may bring better revenues.

Customer Feedback 78

Customer Feedback AI Machine Learning Social Media 78

Lumoa

JANUARY 23, 2018

Feedback arrives in other forms as well: pure text sent via various channels directly to the company, comments in social media, reviews in application stores and online stores etc. The purpose is to convert unstructured text into meaningful structured data to support business analysis and decision making.

Text Analytics 114

Text Analytics Sentiment Analysis NPS Net Promoter Score 114

Comm100

DECEMBER 16, 2024

They use machine learning to refine and prioritize answers based on relevance. Sentiment analysis AI analyzes customer text or speech to gauge emotion and tone, categorizing interactions as positive, neutral, or negative. Prevents SLA breaches, ensuring timely issue resolution and maintaining customer trust.

Customer Service 52

Customer Service Sentiment Analysis AI Social Media 52

Logicalware

NOVEMBER 23, 2023

Unlike traditional machine learning models with narrow use cases, LLMs are trained on extensive data, with a sophisticated architecture resembling the human brain. Sentiment analysis: Large language models and generative AI technology empower businesses to delve deeper into data, analysing customer sentiments within transcriptions.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

SurveySensum

OCTOBER 29, 2024

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

Contact Center 52

Contact Center Text Analytics Sentiment Analysis Machine Learning 52

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. This direct line of communication allows customers to express their needs and desires, providing a rich source of data for analysis.

Text Analytics 78

Text Analytics Customer Feedback Net Promoter Score Sentiment Analysis 78

Logicalware

JULY 26, 2023

Artificial Intelligence (AI) is a field of computer science focused on creating intelligent machines that can learn, reason, and perform tasks like humans. It includes techniques such as machine learning, natural language processing, and computer vision. voice, chat, email, social media) to offer seamless interactions.

Artificial Intelligence 52

Artificial Intelligence AI Sentiment Analysis Machine Learning 52

DMG Consulting

FEBRUARY 25, 2019

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics.

AI 48

AI Text Analytics Predictive Analytics Machine Learning 48

Experience Investigators

MAY 7, 2024

Artificial intelligence is the ability of machines to exhibit human-like intelligence. It involves a few areas, such as machine learning, neural networks, and natural language processing. Predictive Analytics and Sentiment Analysis : AI algorithms can sift through vast amounts of customer data. AI is nothing new.

AI 52

AI Sentiment Analysis Artificial Intelligence Customer Experience 52

SurveySensum

MARCH 3, 2022

Text & sentiment analysis . Identify the sentiments in customer feedback as negative, positive, or neutral, and recognize the tone and emotions behind each feedback. . ? A user-friendly dashboard provides sentiment analysis reports, negative and positive tagging, and real-time insights. . Sentiment analysis .

Voice of the Customer 52

Voice of the Customer Sentiment Analysis VOC Close the Loop 52

Neosperience

FEBRUARY 24, 2020

This technology was primarily born as the core feature of sentiment analysis platforms, used to recover significant insights about services and products, and to manage and recognize possible corporate crises.

Technology 52

Technology Technology Artificial Intelligence Machine Learning 52

Ameyo Callversations

MARCH 2, 2022

The use of machine learning coupled with Artificial intelligence and automated voice responses in a Contact center also helps the agents assist customers by making the calls interactive. Sentiment Analysis. Even implementation of ai in contact centers helps agents to ease their tasks and help them perform better.

Contact Center 52

Contact Center Artificial Intelligence AI Sentiment Analysis 52

Zendesk

NOVEMBER 28, 2023

Bots and virtual assistants Bots and virtual assistants are types of conversational AI that use deep learning , machine learning algorithms, and natural language processing (NLP) to learn from human interactions. It’s also a cloud computing provider offering AI and machine learning services.

AI 52

AI ML Machine Learning Artificial Intelligence 52

CSAT.AI

FEBRUARY 27, 2019

Consumer contact now includes email, online chat, social media outlets and even online video/audio support. Case in point, Google prediction: “The Google Prediction API provides access to cloud-based machine learning capabilities including natural language processing, recommendation engine, pattern recognition, and prediction.

Contact Center 52

Contact Center AI Sentiment Analysis Artificial Intelligence 52

Lumoa

FEBRUARY 14, 2024

From social media posts to Google and Yelp reviews, every buyer can recount their customer experience with your company to a global audience. Highlight your most valuable customers on your social media and website. Lumoa is a new way to manage every aspect of CX, from customer surveys to social media monitoring.

Customer Experience 78

Customer Experience ML Social Media CX 78

SurveySensum

JULY 31, 2024

Here’s how it works: Data Collection : Customer feedback can come from multiple sources and with the help of AI capabilities, it can be gathered from multiple sources like social media reviews, email surveys, customer interactions, external databases, etc.

AI 52

AI Sentiment Analysis Actionable Insights Close the Loop 52

SurveySensum

MAY 31, 2024

AI customer experience is the employment of AI technology like machine learning, and chatbots to improve the efficiency, speed, and intuitiveness of customer experience. For example, e-commerce businesses can leverage predictive analysis to prevent customer churn. What is an AI customer experience (CX)?

AI 52

AI CX Customer Experience Sentiment Analysis 52

SurveySensum

SEPTEMBER 19, 2022

Social media. A customer connects with the brand at multiple touchpoints – website, social media, support call, live chat, email, and many more. Social media channels and forums are great examples of indirect VOC data sources. With social listening, you can cater to all this chatter on the web.

VOC 52

VOC Social Media Voice of the Customer Sentiment Analysis 52

SurveySensum

JULY 11, 2024

Firstly, What Exactly is an AI Survey Builder: A Quick Introduction An AI survey builder is a tool that helps you create, distribute, and analyze surveys efficiently using technologies like Natural Language Processing and machine learning. This way, your surveys have multiple channels to meet your respondents where they are.

AI 52

AI Sentiment Analysis Machine Learning Social Media 52

SurveySensum

NOVEMBER 26, 2024

Analytics and Reporting Qualtrics: Qualtrics offers advanced analytics and reporting capabilities like predictive analysis, text and sentiment analysis, and advanced statistical analysis like regression, cluster, and correlation analysis. It also provides in-depth visualization and detailed segmentation reports.

Sentiment Analysis 52

Sentiment Analysis Text Analytics Machine Learning AI 52

Hodusoft

AUGUST 29, 2024

Besides these two main types of AI, other popular AI systems include- Machine Learning (ML): A subset of AI, which uses algorithms that learn from existing data, or unsupervised learning. Deep Learning: A type of machine learning that involves learning from data using artificial neural networks.

Contact Center 52

Contact Center AI Artificial Intelligence Compliance 52

Comm100

MARCH 7, 2019

When you’re first diving into the world chatbots, you may hear people talking about different terms like ‘Natural Language Processing’, ‘Machine Learning’, and ‘Intents’, but have no idea what they mean. Machine Learning: Algorithms that help a chatbot to “learn” concepts using data — without being explicitly programmed.

Machine Learning 62

Machine Learning Sentiment Analysis Artificial Intelligence AI 62

VOZIQ

JUNE 7, 2023

It leads to a higher NPS, which, when supported by market research and sentiment analysis, helps you extract insights into your customers’ needs. Instead, you can leverage AI and machine learning to address this issue. Predict your NPS: Remember not all customers respond to NPS surveys.

NPS 40

NPS Net Promoter Score Machine Learning Sentiment Analysis 40

VOZIQ

JUNE 7, 2023

It leads to a higher NPS, which, when supported by market research and sentiment analysis, helps you extract insights into your customers’ needs. Instead, you can leverage AI and machine learning to address this issue. Predict your NPS: Remember not all customers respond to NPS surveys.

NPS 40

NPS Net Promoter Score Machine Learning Sentiment Analysis 40

Lumoa

JUNE 14, 2023

Plus, with the proliferation of social media and online communities, it’s become ever more convenient for customers to share their experiences with a larger audience. Customer Sentiment Analysis Tools Gone are the days when you had to manually comb through customer feedback or comments to determine their sentiment.

NPS 78

NPS Sentiment Analysis Start-ups Net Promoter Score 78

SurveySensum

NOVEMBER 10, 2023

You rely heavily on email and social media for customer feedback for your bookstore. It leverages natural language processing and machine learning to analyze and interpret unstructured customer feedback data, such as customer reviews, survey responses, social media comments, and support interactions.

Sentiment Analysis 52

Sentiment Analysis Actionable Insights Social Media Start-ups 52

Qualtrics

DECEMBER 5, 2018

Most of us can’t keep up with our emails, let alone manually review hundreds of thousands of open-ended survey responses, social media comments and contact center call logs. AI allows you to dive into those millions of words and emerge with an understanding of what your customers think, feel and want with powerful text analysis.

AI 37

AI Artificial Intelligence Machine Learning Sentiment Analysis 37

SurveySensum

SEPTEMBER 23, 2024

Impact Analysis: Evaluate the effects of different actions on your business outcomes, helping you prioritize initiatives that drive real, tangible results. Text and Sentiment Analysis: Turn those customer comments into gold. Seamless Integration: Integrate without stress as it seamlessly fits your existing tools and platforms.

CX 52

CX Customer Experience Social Media CRM 52