Overview
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Learn about the techniques for analyzing text data in Python and perform machine learning and predictions.
Syllabus
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Introduction
- The need for text mining skills in data science
- Introduction to text analytics
- Course prerequisites
- Using Jupyter Notebook
- Word Cloud concepts
- Preparing data for a word cloud
- Displaying the word cloud
- Enhancing the word cloud
- Purpose
- Preparing data for sentiment analysis
- Finding sentiments
- Summarization and display
- Purpose
- Preparing data for clustering
- k-means clustering
- k-means optimization
- Purpose
- Preparing data for classification
- Naïve Bayes classification
- Predictions for text
- Predictive text concepts
- Preparing data for predictive text
- Building n-grams database
- Recommending next word
- Next steps
