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What is Chattermill?

Experience comprehensive analytics for customer feedback designed specifically for the world’s fastest-growing companies. With Chattermill, you can gain a significant edge over competitors by integrating, assessing, and interpreting customer feedback in real-time. Unify all feedback channels and customer interactions effortlessly on a collaborative and intuitive platform. Utilize cutting-edge AI technology for sentiment and theme analysis to gain insights into customer emotions regarding your product, identify emerging trends, and uncover the factors that drive customer loyalty. By filtering through and interpreting the underlying meanings within your data, you can swiftly evaluate the components that impact customer experience. Moreover, analyzing signals from customer feedback allows you to detect and anticipate potential opportunities that can boost revenue, enhance customer advocacy, and improve retention across every customer interaction, ensuring your business remains flexible and responsive to shifting market demands. This approach not only helps in making informed decisions but also fosters a deeper connection with your customers for sustained growth.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Alchemer
AppFollow
Customer Thermometer
Dixa
Feefo
Freshdesk
Iterate
LiveChat
Nango
Salesforce
SatisMeter
Slack
Sprinklr
SurveyMonkey
SurveyMonkey Enterprise
TAS Insight Engine
Trustpilot
X (Twitter)
Zendesk

Integrations Supported

Alchemer
AppFollow
Customer Thermometer
Dixa
Feefo
Freshdesk
Iterate
LiveChat
Nango
Salesforce
SatisMeter
Slack
Sprinklr
SurveyMonkey
SurveyMonkey Enterprise
TAS Insight Engine
Trustpilot
X (Twitter)
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Chattermill

Date Founded

2015

Company Location

United Kingdom

Company Website

chattermill.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

NPS

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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