oldclesleycode/natural-language-processing
Intro to Natural Language Processing Tutorial
This project provides an introductory guide to Natural Language Processing (NLP) concepts. It explains how to build a system that analyzes text to understand the emotional tone behind words, commonly known as sentiment analysis. You'll learn to process text data like tweets, prepare it for analysis, and build a classifier to determine if a message is positive or negative. This is ideal for data scientists, marketers, or anyone interested in extracting insights from large volumes of text data.
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Use this if you are a beginner looking to understand the fundamentals of Natural Language Processing and want a practical example of sentiment analysis.
Not ideal if you need an actively maintained, cutting-edge NLP solution or a production-ready system, as this tutorial was last updated in 2017.
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Aug 22, 2022
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