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What is Sentiment Analysis? Examples, Best Practices, & More

Callminer

A Definition of Sentiment Analysis Sentiment analysis is a method for gauging opinions of individuals or groups, such as a segment of a brand’s audience or an individual customer in communication with a customer support representative. The post What is Sentiment Analysis?

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What is Sentiment Analysis? Examples, Best Practices, & More

Callminer

Sentiment analysis can be a powerful tool for steering companies to successful outcomes from every customer interaction. Learn more about it here.

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Quantitative Data: Types, Analysis & Examples

ProProfs Blog

Such data cannot be used for statistical analysis. Quantitative Data Types with Examples. A few examples of discrete data include: Number of members in a team. A few examples of continuous data include: The daily temperature of a place. Quantitative Data Analysis Methods. They are: Discrete. Continuous. Wind speed.

Surveys 78
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A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

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. To put it in a real-world scenario, take Amazon as an example. There’s an avalanche of text data out there.

Feedback 157
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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

AWS Machine Learning

Amazon Rekognition makes it easy to add image and video analysis to your applications. and capabilities How does Amazon Rekognition Bulk Analysis work for Content Moderation How to improve Content Moderation prediction with Bulk Analysis and Custom Moderation Content Moderation Model Version 7.0 Choose Start Bulk Analysis.

APIs 102
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Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

One common reason to engage in data collaboration is to run an audience overlap analysis, which is a common analysis to run when media planning and evaluating new partnerships. The analysis helps determine how much of the advertiser’s audience can be reached by a given media partner. Choose Configure new table.