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5 Creative Ways to Use AI for Sentiment Analysis

Lumoa

The secret lies in the capabilities of AI and its proficiency in conducting sentiment analysis. In this article, we’ll explore five innovative and creative ways to leverage AI for sentiment analysis. However, this manual sentiment analysis has its limitations and challenges.

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Customer Sentiment Analysis: Unlocking the Intent Behind Feedback

Zonka Feedback

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.

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New Text iQ machine learning models deliver industry leading accuracy with sentiment analysis

Qualtrics

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.

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Part 1: The Difference Between Customer Sentiment Analysis and Customer Distress Index and Why You Should Pay Attention

TeamSupport

By utilizing the many tools available—and more technologically advanced than ever—B2B companies are able to gauge how their customers are feeling and how satisfied, or not, that they actually are. The simplest type of algorithm uses a dictionary to look up which words or phrases indicate which sentiment. Find out in Part 2.

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Phrase Based Models for Customer Service QA Automation and Agent Training

CSAT.AI

Phrase based models use natural language processing (NLP) and machine learning which allow AI to derive meaning from human language. This is a powerful customer service technology in multiple ways. Sentiment Analysis. Sentiment analysis is parsing customer responses and actions to understand how they feel.

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7 Latest Call Center Technology You Haven’t Heard Of

Fonolo

Contact center technology has come a long way since its early years as a jury-rigged air traffic control system. The pandemic has hastened many call center trends and compounded technological developments. Here are the latest and greatest call center technologies: AI-Powered Voice Biometrics & Analysis. Voice-to-Text.

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How to Leverage Technology in Hybrid and Remote Work

SugarCRM

Technology for collecting, managing, and advancing customer interactions is vital for all businesses. Here are three ways businesses can use technology to maximize the value and productivity of a hybrid and remote workforce: 1. Technology can quickly capture, analyze and draw valuable insights from many data points.