Data Science Text Mining and NLP using R and Python.
What Will I Learn?
- Perform text mining applications using structured & unstructured data;
- Understand about document term matrix, term frequency, term frequency inverse document, term frequency for normalizing
- Differentiate between size of word which indicates the frequency of the said word in a word cloud, clustering based on related use for better insights and how to read the results in context to make sense of the word
- Understand from a practical case study the various steps of text mining in R and the use of Positive and negative word banks
- Learn Web and Social media extraction using R, Risk sensing - sentiment analysis, Twitter application management for extracting tweets
- Understand the clustering concept, that is an integral part of text mining
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