What you would learn in Text Analytics and Predictions with Python Essential Training course?
Text can be a valuable source of data for companies. Social media, websites, email, chats, and emails all provide valuable customer data. To reap the rewards, you must be able to analyze large volumes of text that are not structured. Text mining is crucial for anyone involved in big data or data science. This course will teach techniques for text mining to remove, clean, and process texts using Python and the, scikit-learn, and the nltk library. Kumaran Ponnambalam explains how to conduct text analytics using the most popular methods like sentiment analysis and word cloud. He then shows how to make predictions with text data using clustering, classification, and recommendations--otherwise known as predictive text. Through the course, the author introduces critical terms in text analytics like lemmatization and n-grams.
Course Content:
- Introduction
- 1. Word Cloud
- 2. Sentiment Analysis
- 3. Clustering
- 4. Classification
- 5. Predictive Text
- Conclusion
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