hash_sentiment: Tweet Analyser

In sk6aus6/hashtag:

Description

This function scrapes twitter for your chosen phrase, and outputs a summary of the most positive or negative tweets

Usage

hash_sentiment(regex = "coriander|cilantro", num.tweets = 800,
  method = "afinn", sentiment = "positive", num.summary = 6,
  scrape = TRUE)

Arguments

regex	Regular expression for the words/phrase you are interested in. Twitter will be scraped for this regex.
num.tweets	How many tweets should be fetched? Currently, only the latest tweets can be scraped.
method	Sentiment Analysis method. Options include "nrc" which assigns words to 8 emotions and 2 sentiments or "afinn" which assigns a positive numeric score to positive words and negative scores to negative words. Only 'afinn' works right now.
sentiment	Choose between "positive" or "negative" sentiment summary
num.summary	The number of tweets to be summarised from the 'most positive' or 'most negative' list

Examples

hash_sentiment(regex = "coriander|cilantro", num.tweets = 200,
method = "afinn", sentiment = "positive",
num.summary = 6)

sk6aus6/hashtag documentation built on May 30, 2019, 12:07 a.m.