NLP Modeling for Beginners: Validation, Confusion Matrix, Data Analysis and Collection (Python)
$30
$30
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Marcela Soriano
Begginers Modeling to NLP
- In this notebook, we will be exploring how Natural Language Processing (NLP) can be used to build sentiment analysis models using Python.
- Our primary focus will be on social media data though we aim to create a model that is capable of handling larger sentiment analysis.
- By the end, we aim to provide a comprehensive set of tools and visualizations to interpret sentiment data.
Table of Contents
- Data Collection and Preprocessing
- Exploratory Data Analysis (EDA)
- Model Building and Training
- Model Evaluation
- Topic Based Model
- More Examples
A Jupyter Notebook (.ipynb file) that will teach you how to use Python to successfully validate, confuse, matrix, analyze and collect data using natural language processing (NLP).
Size
147 KB
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