Text Analytics and Predictions with Python Essential Training

Offered By: LinkedIn Learning

Tags

Natural Language Processing (NLP) Courses Machine Learning Courses Python Courses Sentiment Analysis Courses Jupyter Notebooks Courses Classification Courses Clustering Courses

Course Description

Overview

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

Syllabus

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

Taught by

Kumaran Ponnambalam

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