calculate_custom_sentiment: Predicts the sentiment of sentences

In RSentiment: Analyse Sentiment of English Sentences

Description

This function loads text and words of positive and negative sentiment supplied externally as paramater and calculates sentiment of each sentence. It classifies sentences into 6 categories: Positive, Negative, Very Positive, Very Negative Sarcasm and Neutral.

Usage

calculate_custom_sentiment(text, positivewords, negativewords, check = 0)

Arguments

text	A vector of sentences or a sentence (English).
positivewords	A vector of words of positive sentiment.
negativewords	A vector of words of negative sentiment.
check	A flag variable whose value if 1 denotes appending of passed positive and negative words with existing words.By default, this method will work with supplied positive and negative words only.

Value

A vector containing sentiment of each sentence.

Examples

calculate_custom_sentiment("This is good",c("good"),c("bad"),1)
calculate_custom_sentiment(c("This is good","This is bad"),c("good"),c("bad"),0)

RSentiment documentation built on May 2, 2019, 3:45 a.m.