Sentiment Analysis in NLP

4 hours of instruction

This course covers the intermediate concepts of natural language processing like sentiment analysis. By the end of this course students will be able to build classification model for textual data.

OBJECTIVES

1. Understand the concept of sentiment analysis
2. Initialize, build and train a logistic regression model that can be used to find sentiments in a document

PREREQUISITES

Word Embeddings in NLP

SYLLABUS & TOPICS COVERED

1. Sentiment Analysis
   • Sentiment analysis in a nutshell
   • Classifying text according to sentiment

SOFTWARE REQUIREMENTS

You will have access to a Python-based JupyterHub environment for this course. No additional download or installation is required.