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Survey analysis & reporting — found from sitemap — Netigate

Checked for Netigate on 28 Oct 2026

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Cited by

Sentiment AI model Report an error

“The sentiment model uses AI to detect whether the sentiment of each sentence is negative, neutral, or positive. The model uses the RoBERTA architecture and benefits from seeing data from the CommonCrawl corpus.”
Sentiment manual correction Report an error

“You can manually update the Sentiment from the feedback, and help train the model by correcting incorrect sentiment in the UI.”
Sentiment sentence level Report an error

“The model splits comments into sentences before it does predictions.”
Sentiment sarcasm detection Report an error

“if there is a score attached to the feedback the score can be used to help detect irony. This process is called "sarcasm detection".”
Sentiment score range Report an error

“The model outputs a sentiment prediction of negative/neutral/positive and a sentiment score [-1,1].”
Sentiment use cases Report an error

“Gain insights into customer emotions and opinions, and use this information to improve your customer experience.”
Sentiment contact email Report an error

“Please don't hesitate to email us at help@lumoa.me.”
Netigate email Report an error

“Netigate Support: support@netigate.net”