sentiment_frame

positives

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