This course on text analytics with R covers the fundamentals of text analytics, including handling big data, various stages of data processing, implementing machine learning models, model optimization, and data visualization. The course teaches skills such as TF-IDF, N-grams, VSM, LSA, SVD, and Cosine Similarity. The teaching method involves a series of video lectures covering different topics in text analytics. The course is intended for individuals interested in learning how to analyze and derive insights from unstructured text data using machine learning techniques.
Overview
Syllabus
– Overview
– Text Analytics Fundamentals
– Data Pipelines
– Building Our First Model
– TF-IDF
– N-grams
– VSM, LSA & SVD
– SVD with R
– Model Metrics
- Cosine Similarity
– Pre-Processing Our Test Data
- Model Optimization | Series Conclusion
Taught by
Data Science Dojo
