Text Mining with R

Index

Symbols

• %/% operator, Sentiment Analysis with Inner Join

A

• Abelson, Hal, Converting to and from Nontidy Formats
• AFINN lexicon
  • characteristics of, The sentiments Dataset
  • for Usenet sentiment analysis, Sentiment Analysis
  • numeric scoring with, Comparing the Three Sentiment Dictionaries
  • Pride and Prejudice sentiment calculations, Comparing the Three Sentiment Dictionaries
  • reversing scores with negation, Using Bigrams to Provide Context in Sentiment Analysis-Using Bigrams to Provide Context in Sentiment Analysis
  • unsuitability to analysis of financial news articles, Example: Mining Financial Articles
• Associated Press (AP) news articles
  • and two-topic LDA model, Latent Dirichlet Allocation-Document-Topic Probabilities
  • DTM implementation with, Tidying DocumentTermMatrix Objects-Tidying DocumentTermMatrix Objects
• augment(), By-Word Assignments: augment-By-Word Assignments: augment
• Austen, Jane, novels of
  • common joy words in Emma, Sentiment Analysis with Inner Join-Sentiment Analysis with Inner Join
  • converting works to tidy text format, Tidying the Works of Jane Austen-Tidying the Works of Jane Austen
  • names as bigrams and trigrams in, Counting and Filtering N-grams
  • Pride and Prejudice as test case for comparing lexicons, Comparing the Three Sentiment Dictionaries-Comparing the Three Sentiment Dictionaries
  • splitting text into data frame with regex patterns, Looking at Units Beyond Just Words
  • term frequency, Word Frequencies-Word Frequencies, Term Frequency in Jane Austen’s Novels-Term Frequency in Jane Austen’s ...