NurseryRhymes

Text and talker information delineated, 3 separate nursery rhymes, good for computing analytics and word counts

datasets

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.

Jamie Reilly

ConversationAlign

Process Text and Compute Linguistic Alignment in Conversation
Transcripts

Virginia Ulichney

Ben Sacks

Sarah Weinstein

Chelsea Helion

Gus Cooney

NurseryRhymes function

## "NurseryRhymes"
A data.frame with 100 observations, 2 vars:<dl>
 <dt>Event_ID</dt>
<dd>factor 3 different simulated conversations</dd> <dt>Participant_ID</dt>
<dd>fictional speaker names, 2 each conversation</dd> <dt>Text_Raw</dt>
<dd>simulated language production, actually looped phrases from nursery rhymes</dd> ...</dl>

Format

Text and talker information delineated, 3 separate nursery rhymes, good for computing analytics and word counts — NurseryRhymes

## "NurseryRhymes"
A data.frame with 100 observations, 2 vars:<dl>
 <dt>Event_ID</dt>
<dd>factor 3 different simulated conversations</dd>

 <dt>Participant_ID</dt>
<dd>fictional speaker names, 2 each conversation</dd>

 <dt>Text_Raw</dt>
<dd>simulated language production, actually looped phrases from nursery rhymes</dd>

 ...

</dl>

NurseryRhymes: Text and talker information delineated, 3 separate nursery rhymes, good for computing analytics and word counts

Description

Usage

Arguments

Format