Remove category learning-management
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Guest Post: Exploring Natural Language Processing to Categorize Customer Feedback

ShepHyken

Categorization helps to efficiently organize feedback into categories like “Customer Service,” “Price,” “Ease of Use,” and “Features.” Then, categories may be divided into subcategories. Categories are key to producing actionable insights on top of rating questions, such as CSAT score (customer satisfaction),?

Feedback 167
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The Future of Customer Research Teams: Innovating for Success in 2024 and Beyond

Beyond Philosophy

16:57 Ryan explains the how AI is excellent in creating categories, and demonstrates his SAT-level mastery of fancy-sounding academic words. Click here to learn more about Professor Ryan Hamilton of Emory University. Click here to learn more about Beyond Philosophy’s Suite of Services. How can we help?

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Improving Content Moderation with Amazon Rekognition Bulk Analysis and Custom Moderation

AWS Machine Learning

It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision features to the service.

APIs 107
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2022 highlights from our customer service blog

Eptica

Date: Friday, January 6, 2023 Author: Pauline Ashenden - Demand Generation Manager 2022 highlights from our customer service blog. Author: Pauline Ashenden - Demand Generation Manager 2023 promises to be a challenging year economically, directly impact customer service teams. Published on: January 06, 2023. Share this page on: Tweet.

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The 2023 Customer Experience Management Value Index

Verint is named an Exemplary Leader in the 2023 Customer Experience Management Value Index by Ventana Research. Download the Value Index for an independent report on vendor evaluations and learn how Verint is ranked as a Leader in multiple categories, including Adaptability, Manageability, Usability, and Product Experience.

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How to Create Unbreakable Brand Loyalty through Emotional Connection

Beyond Philosophy

Learn more about Colin Shaw : Join over 80,000 people on our LinkedIn Newsletter list or visit our website for more great podcast episodes. Many emotions exist within those positive and negative categories, too. They won’t need any training to manage these emotions. Artificial intelligence can also help identify emotions.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning

Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.