calculate_custom_score: Calculate the score of sentences

In RSentiment: Analyse Sentiment of English Sentences

Description

This function loads text and calculates score of each sentence on basis of presence of words of positive and negative sentiment supplied externally as paramater, presence of negation,and checking for sarcasm. 0 indicates neutral sentiment. Positive value indicates positive sentiment. Negative value indicates negative sentiment. 99 indicates sarcasm.

Usage

calculate_custom_score(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 polarity of each sentence.

Examples

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

Example output

[1] "Processing sentence: this is good"
1 
1 
[1] "Processing sentence: this is good"
[1] "Processing sentence: this is bad"
[1]  1 -1

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