text2map 0.1.6

Improvements

• Add functionality
  • doc_centrality calculates four graph-based centrality metrics using DTMs
  • doc_similarty calculates four document similarity measures using DTMs

text2map 0.1.5

Improvements

• Replaced dependency
  • using ClusterR for get_regions, instead of mlpack
  • Uses the Armadillo library k-means algorithm only (no longer provides an option)
• Added functionality:
  • seq_builder creates a token-integer sequence representation
• Added Shakespeare metadata for examples
• Import Matrix package methods

text2map 0.1.4

Improvements

• Added functionality
  • dtm_builder includes an option to return a dense base R matrix
  • dtm_stopper includes an option to remove based on a terms rank (e.g., top 10), stopping based on count and proportion are now two separate options

text2map 0.1.3

Improvements

• Add functions:
  • find_transformation() to norm, center, and align matrices
  • find_projection() finds the projection matrix onto a vector
  • find_rejection() finds the rejection matrix away from a vector
  • dtm_melter() quickly turns a DTM into a triplet dataframe (doc_id, term, count)
• Fixed get_centroid() naming (limits to single word for names)

text2map 0.1.1

Improvements

• Added functionality to dtm_stopper() to stop words by document or term frequencies
  • Nomenclature was changed, stop_freq was changed to stop_termfreq
• Added functionality to dtm_resampler() to resample proportion and fixed N lengths
• Added and clarified documentation
• Added a NEWS.md file to track changes to the package.