Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning

This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.

natural-language-processing

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93 Stars

27 Forks

93 Watchers

Jupyter Notebook Language

Cost to Build

$8.9K

Market Value

$15.1K

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-03-01

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What is the JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning GitHub project? Description: "This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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