Join Kumaran Ponnambalam for an in-depth discussion in this video Introduction to text analytics, part of Text Analytics and Predictions with Python Essential Training.
- [Instructor] Text processing and analytics is one of the fastest growing areas in the field of machine learning. There is a great reason for this. More and more data generated today is free text. The Internet contains a number of blogs, reviews, comments, notes, and other text-based facts. Social media generates millions of messages every day in the form of messages, tweets, hashtags, and references. Computer software generates log messages and audit trails. There is so much more entering emails and audio or video that gets transcribed into text. With so much free text data out there, businesses can capitalize through text analytics. They can then use these insights to strategize business actions, but analyzing text poses us various unique challenges. Text data is several times as large as numeric data. Also, text does not have a fixed structure or schema and that makes understanding it very difficult. In this course, I will show you some of the tools and techniques offered in Python that can help you with these particular issues and aid in generating insights.
- Generating a word cloud
- Determining the sentiments of customers
- K-means clustering of text
- Predicting the classification of text documents
- Predictive text