Eternal Algorithm is a simple neural network designed to determine the sentiment of a sentence. Built using TensorFlow and Keras, this project is aimed at developers who are looking to build basic sentiment analysis functionality into their applications.
To use Eternal Algorithm, simply pass in a sentence as a string, and the neural network will determine whether the sentiment of the sentence is positive, negative, or neutral. The output will be returned as a string with one of the following values: "positive", "negative".
This project was built using the following technologies:
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TensorFlow and Keras: These are popular and reliable frameworks for building neural networks, and were used to create the core functionality of the network.
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PyCord: PyCord is a Python wrapper for the Discord API. It was used to integrate the neural network with Discord, allowing users to interact with it through a chatbot.
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NumPy: NumPy is a powerful library for working with arrays and matrices in Python. It was used to provide additional functionality and efficiency to the neural network.
In the future, we plan to expand Eternal Algorithm by incorporating additional natural language processing techniques, such as part-of-speech tagging and named entity recognition. We also plan to integrate it with other platforms, such as Slack and Telegram.
- quiu: Project Lead and Developer
This project is licensed under the MIT License.