README Sections:
1) Project name and introduction
2) Table of contents
3) Requirements
4) Recommended modules
1. Project Name and Introduction
Capstone project. NLP Applications.
This project is a Python script that Categorise and researchs NLP applications using the spaCy library.
2. Table of Contents
Table of Contents
*Download a dataset of product reviews: Consumer Reviews of Amazon Products
* Create a Python script named sentiment_analysis.py
* Implement a sentiment analysis model using spaCy
* Preprocess the text data
* Create a function for sentiment analysis
* Test your model on sample product reviews
3. Requirements
Requirements
This project requires the following software to be installed:
* Python (version 3.11 or later)
* Pandas (version 1.4.2)
* NumPy (version 1.23.5)
* SpaCy
You can install these dependencies using pip:
```bash
pip install python pandas numpy
4. Recommended Modules
While not strictly required, the following modules can add additional features:
* Matplotlib (for advanced visualizations)
These modules can be installed similarly using pip:
```bash
pip install matplotlib seaborn