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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

Description:

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.

Text Analytics Using R-Studio

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#Data Science #Data Analysis #Programming #Domain-Specific Languages (DSL) #R Programming #Text Mining