ConversationAlign: Process Text and Compute Linguistic Alignment in Conversation Transcripts

Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word. 'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.

See also

Useful links:

• https://github.com/Reilly-ConceptsCognitionLab/ConversationAlign

Author

Maintainer: Jamie Reilly jamie_reilly@temple.edu (ORCID)

Authors:

• Virginia Ulichney

• Ben Sacks

Other contributors:

• Sarah Weinstein [contributor]

• Chelsea Helion [contributor]

• Gus Cooney [contributor]