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Dated : 22th October 2022

Duration : 30 Minutes

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Sentiment Analysis

Agents - Understand sentiment of each interaction to know the best way to respond to issues

5/5 Ratings

SOC 2 certified

No credit card required

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Top Call Drivers

User queries and interactions with users goes through mix of emotions, and these emotional states play a vital role in providing customer experience. Determining the sentiment helps companies determine how users feel about their products and services. With the amount of unstructured data, the role of sentiment analysis is growing significantly. Collecting customer feedback and using this unstructured data is the most valuable way to expose sentiments. With these insights, companies can better understand the CSAT.

Manages Your Knowledge

With the amount of unstructured data, the role of sentiment analysis is growing significantly. Collecting customer feedback and using this unstructured data is the most valuable way to expose sentiments. With these insights, companies can better understand the CSAT.

Manages Your Response

User queries and interactions with users goes through mix of emotions, and these emotional states play a vital role in providing customer experience. Determining the sentiment helps companies determine how users feel about their products and services.

01

Real-Time Analysis

Given the nature of human language, determining sentiment is extremely difficult. Ascendo’s Sentiment models are built to gauge every word that is sent, which can help you find critical issues in real-time. It can help you quickly identify different user situations and so you can take actions right away.

02

Quick Resolution

Ascendo’s AI models are trained to help agents with better understanding of users emotions. Sentiments are captured throughout their interaction providing best suited solutions, everything at once place and just a click away.

03

Enhance Experience

Emotions are perplexed most of the time. Ascendo’s AI comes handy here to give the best of experience. It ascertains and tracks the overall proportion of sentiments overtime. Taking it further, every word is weighed to define the context accurately and to uncover the unknown insights combining with other analytics.

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