Text Analytics and Predictions with Python Essential Training

Learn about the techniques for analyzing text data in Python and perform machine learning and predictions.

Introduction

• The need for text mining skills in data science
• Introduction to text analytics
• Course prerequisites
• Using Jupyter Notebook

1. Word Cloud

• Word Cloud concepts
• Preparing data for a word cloud
• Displaying the word cloud
• Enhancing the word cloud

2. Sentiment Analysis

• Purpose
• Preparing data for sentiment analysis
• Finding sentiments
• Summarization and display

3. Clustering

• Purpose
• Preparing data for clustering
• k-means clustering
• k-means optimization

4. Classification

• Purpose
• Preparing data for classification
• Naïve Bayes classification
• Predictions for text

5. Predictive Text

• Predictive text concepts
• Preparing data for predictive text
• Building n-grams database
• Recommending next word

Conclusion

• Next steps