This course is going to introduce you to the idea of text analytics using RStudio in Hindi.
RStudio is an integrated development environment for R, a programming language for statistical computing and graphics.
Overview
Syllabus
Text Analytics-1 Concept of Text Analysis and available Softwares.
Text Analytics-2 Study Material.
Text Analytics-3 Different Packages for Text Analysis.
Text Analytics-4.1 Introduction to Text Analytics.
Text Analytics-4.2 Text Analytics Process for a Single file, Multiple files and Social Media text.
Text Analytics-5 Common Text Functions.
Text Analytics-6 Importing text from a Single file or Multiple files.
Text Analytics-6.1 Importing Text file in R Studio.
Text Analytics-6.2 Importing PDF file in R Studio.
Text Analytics-6 Twitter Apps Account Creation.
Text Analytics-6 Importing Tweets in R Studio.
Text Analytics-7 Character Translation Lowercase Uppercase.
Text Analytics-8 Paste function with collapse.
Text Analytics-9 Removing Stopwords.
Text Analytics-10 Removing patterns (Punctuation, Single Alphabets).
Text Analytics-11.1 Convert Numbers into Text using QDAP Package.
Text Analytics-11.2 Solving QDAP Problem of Java mismatch.
Text Analytics-12 Remove Extra White-space.
Text Analytics-13 Stemming of documents.
Text Analytics-14 Corpus Creation.
Text Analytics-15.1 Importing Multiple Files.
Text Analytics-15.2 Importing Multiple PDF Files.
Text Analytics-16 Text Cleaning using tm_map.
Text Analytics-17 Frequency Analysis.
Text Analytics-18.1 Matrix formation TDM and DTM.
Text Analytics-18.2 Understanding TDM.
Text Analytics-19 Frequency and Association on TDM.
Text Analytics-20 Wordcloud on a Single Text File.
Text Analytics 21 Wordcloud2 on a Single text File.
Text Analytics-22 Comparison Cloud and Commonality Cloud.
Taught by
Neeraj Kaushik
