Creating a sentiment analysis app with OpenAI and Streamlit (tutorial)

Creating a sentiment analysis app with OpenAI and Streamlit (tutorial)

HomeAtef AtayaCreating a sentiment analysis app with OpenAI and Streamlit (tutorial)
Creating a sentiment analysis app with OpenAI and Streamlit (tutorial)
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Have you ever wanted to know how your customers feel and if that news article is reliable? Harness the power of AI to build your own smart sentiment analysis app with OpenAI and Streamlit!

In this comprehensive tutorial, I'll walk you step-by-step through zero-shot emotion detection and building an interactive web interface. We treat:

– Understanding sentiment: delve into positive, negative and neutral, and even analyze the veracity of the text.
– The Magic of OpenAI: Learn to create prompts that use OpenAI's language models for insightful text analysis.
– Power of Zero-Shot: no complex data sets! We use zero-shot techniques to achieve impressive results.
– Streamlined simplicity: Build an easy-to-use web app to showcase your AI sentiment analyzer.

Whether you're a Python developer, an AI enthusiast, or just curious about understanding emotions in text, this tutorial is for you! We make it fun and accessible.

Ready to dive in? Click watch, start building and unleash the power of AI for sentiment analysis!

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