Text Analytics in R: Crash Course for Beginners
An overview of text analytics fundamentals and learn how to transform text data using different machine learning models. Industries across the globe deal with structured and unstructured data on a daily basis. To generate insights, derive conclusions, identify trends, or identify issues, companies work towards analyzing their text data.
The data pipeline for transforming unstructured text into valuable insights consists of several steps. This course will teach you:
1. How to handle big data
2. Several stages of data processing
3. How to perform and implement machine learning models
4. How to perform model optimization
5. How to visualize data
Table of Contents:
00:00:00 – Overview
00:30:28 – Text Analytics Fundamentals
01:04:15 – Data Pipelines
01:35:50 – Building Our First Model
02:04:14 – TF-IDF
02:37:26 – N-grams
03:06:53 – VSM, LSA & SVD
03:44:12 – SVD with R
04:18:19 – Model Metrics
04:43:10 - Cosine Similarity
05:14:59 – Pre-Processing Our Test Data
05:41:59 - Model Optimization | Series Conclusion
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