sentiment_frame

A character vector of positive words.

positives

A character vector of negative words.

negatives

A vector of weights to weight each positive word by.
Length must be equal to length of <code>postives</code> or length 1 (if 1 weight 
will be recycled).

pos.weights

A vector of weights to weight each negative word by.
Length must be equal to length of <code>negatives</code> or length 1 (if 1 weight 
will be recycled).

neg.weights

<code>sentiment_frame</code> - Generate a sentiment lookup hash table 
for use with the <code>xxx.frame</code> argument of various sentiment functions.

Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse
including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted
analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user
to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R
packages that undertake higher level analysis and visualization of text. This affords the user a more efficient
and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other
areas of Text Mining/ Natural Language Processing.

sentiment_frame: Power Score (Sentiment Analysis)

Description

Usage

Arguments