Tutorial Summary

Natural Language Processing is an essential skill set for Data Scientists. In this session, I will demonstrate how to deal with textual data, techniques to derive insights, engineer features from textual data, and use it to solve text classification tasks. This is use-case-driven training where I will work through a text classification task to predict if a tweet is about a real disaster or not.

The content includes:

1. Introduction to NLP based Python Libraries
2. Exploratory Data Analysis
3. Tweet Cleaning and Preprocessing
4. Feature Engineering - Location Analysis | Sentiment Analysis | Tweet Wordcloud Analysis | Relative Feature Extractions
5. Training a Classifier
6. Conclusion and Future Work