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Text Analytics-4.1 Introduction to Text Analytics
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Classroom Contents
Text Analytics Using R-Studio
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- 1 Text Analytics-1 Concept of Text Analysis and available Softwares
- 2 Text Analytics-2 Study Material
- 3 Text Analytics-3 Different Packages for Text Analysis
- 4 Text Analytics-4.1 Introduction to Text Analytics
- 5 Text Analytics-4.2 Text Analytics Process for a Single file, Multiple files and Social Media text
- 6 Text Analytics-5 Common Text Functions
- 7 Text Analytics-6 Importing text from a Single file or Multiple files
- 8 Text Analytics-6.1 Importing Text file in R Studio
- 9 Text Analytics-6.2 Importing PDF file in R Studio
- 10 Text Analytics-6 Twitter Apps Account Creation
- 11 Text Analytics-6 Importing Tweets in R Studio
- 12 Text Analytics-7 Character Translation Lowercase Uppercase
- 13 Text Analytics-8 Paste function with collapse
- 14 Text Analytics-9 Removing Stopwords
- 15 Text Analytics-10 Removing patterns (Punctuation, Single Alphabets)
- 16 Text Analytics-11.1 Convert Numbers into Text using QDAP Package
- 17 Text Analytics-11.2 Solving QDAP Problem of Java mismatch
- 18 Text Analytics-12 Remove Extra White-space
- 19 Text Analytics-13 Stemming of documents
- 20 Text Analytics-14 Corpus Creation
- 21 Text Analytics-15.1 Importing Multiple Files
- 22 Text Analytics-15.2 Importing Multiple PDF Files
- 23 Text Analytics-16 Text Cleaning using tm_map
- 24 Text Analytics-17 Frequency Analysis
- 25 Text Analytics-18.1 Matrix formation TDM and DTM
- 26 Text Analytics-18.2 Understanding TDM
- 27 Text Analytics-19 Frequency and Association on TDM
- 28 Text Analytics-20 Wordcloud on a Single Text File
- 29 Text Analytics 21 Wordcloud2 on a Single text File
- 30 Text Analytics-22 Comparison Cloud and Commonality Cloud
