text_to_emotion: Text to Emotion

In taylorgrant/GSPtext: Tools for scraping and analyzing texts

Text to Emotion

Description

Applying the NRC lexicon to the review texts. Each term from the reviews is matched to the lexicon. For each star rating, all emotional terms are then counted and percentages calculated for each grouping (rating).

Usage

text_to_emotion(data, grouping = c("stars", "year"))

Arguments

data	Data frame created by GSPtext::get_reviews() or in the same format
grouping	Should the data be grouped by Star Rating or Review Year

Details

The NRC lexicon should be a one time download.

Value

List with three objects - "data" (star/year, sentiment, n count, percentage), "graph1" (dodged bar graph), "graph3 (stacked bar)

taylorgrant/GSPtext documentation built on April 15, 2023, 10:56 p.m.