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An all-in-one R package for the assessment of linguistic matching and/or accommodation.

• Input raw text, a document-term matrix (DTM), or LIWC output.
• Apply various weighting functions to a DTM.
• Measure similarity and/or accommodation with various metrics.
• Calculate standard forms of Language Style Matching (LSM) and Latent Semantic Similarity (LSS).

• Documentation and guides:miserman.github.io/lingmatch
  • Quick Start
  • Comparison Specification
  • Introduction to Text Analysis
  • Word Vectors
  • Text Classification
  • Dictionary Creation
• Dictionary repository:osf.io/y6g5b
• Latent semantic space repository:osf.io/489he
• Dictionary builder:miserman.github.io/dictionary_builder

Download R fromr-project.org, then install the package from an R console:

Release (version 1.0.7)

install.packages("lingmatch")

Development (version 1.0.8)

# install.packages("remotes")remotes::install_github("miserman/lingmatch")

And load the package:

library(lingmatch)

Can make a quick comparison between two bits of text; by default this will give the cosine similarity between rawword-count vectors:

lingmatch("First text to look at.","Text to compare that text with.")

Or, given a vector of texts:

text= c("Why, hello there! How are you this evening?","I am well, thank you for your inquiry!","You are a most good at social interactions person!","Why, thank you! You're not all bad yourself!")

Process the texts in one step:

# with a dictionaryinquirer_cats= lma_process(text,dict="inquirer",dir="~/Dictionaries")# with a latent semantic spaceglove_vectors= lma_process(text,space="glove",dir="~/Latent Semantic Spaces")

Or process the texts step by step, then measure similarity between each:

dtm= lma_dtm(text)dtm_weighted= lma_weight(dtm)dtm_categorized= lma_termcat(dtm_weighted, lma_dict(1:9))similarity= lma_simets(dtm_categorized,metric="canberra")

Or do that within a single function call:

similarity= lingmatch(text,weight="frequency",dict= lma_dict(1:9),metric="canberra")$sim

Or, if you want a standard form (as in this example), specify a default:

similarity= lingmatch(text,type="lsm")$sim