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This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

License: MIT License

Jupyter Notebook 96.58% Python 3.42%
bidirectional-lstm chat-gpt chat-gpt-3 chatgpt cnn cnn-classification cnn-model data-preprocessing glove glove-embeddings

chatgpt-sentiment-analysis's Introduction

Hello 👋, I'm Khaled Ashraf

I am a passionate and versatile computer science graduate with a keen interest in software engineering and programming. I have experience in developing web applications using Java, Angular and other technologies. I also have skills in testing, debugging and troubleshooting software systems. I am eager to learn new tools and frameworks and to work on challenging and innovative projects.


khaledashraf74


KhaledAshrafH


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KhaledAshrafH


 KhaledAshrafH


KhaledAshrafH


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