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AI Chatbots With TensorFlow.js: Improved Emotion Detection in Text

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19 Oct 2020CPOL4 min read
In this article we are going to look at embedding entire sentences, rather than individual words, so that we can get much more accurate results in detecting emotion from the text.
Here, by leveraging the powerful Universal Sentence Encoder library built on the transformer architecture, we will improve our model’s ability to comprehend sentences and distinguish between them.


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This article is part of the series 'AI Chatbot with Tensorflow View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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United States United States
Raphael Mun is a tech entrepreneur and educator who has been developing software professionally for over 20 years. He currently runs Lemmino, Inc and teaches and entertains through his Instafluff livestreams on Twitch building open source projects with his community.

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