Dive into a comprehensive 6-hour crash course on Text Analytics using R. Learn to handle big data, process information through various stages, implement machine learning models, optimize performance, and visualize results. Master fundamental concepts of text analytics, explore data pipelines, and build your first model. Delve into advanced topics like TF-IDF, N-grams, Vector Space Models, Latent Semantic Analysis, and Singular Value Decomposition. Gain practical skills in applying SVD with R, evaluating model metrics, and understanding cosine similarity. Conclude with pre-processing test data and model optimization techniques. Equip yourself with the tools to transform unstructured text into valuable insights across various industries.
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
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Introduction to Text Analytics with R - Overview
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Introduction to Text Analytics with R - Pre-Processing Our Test Data
