Analyse Sentiment of English Sentences.

RSentiment

A package in R to analyse sentiment of English sentences

This package contains three functions that allow R users to analyse sentiment (Positive, Negative, Very Positive, Very Negative, Neutral, Sarcasm) of a text. This package is currently supported in English only.

Current CRAN release is 2.1.3. To install the most updated version of this package from CRAN, run the following code.

install.packages("RSentiment")

calculate_score()

This function loads text and calculates score of each sentence of the text fed on basis of following conditions.

• Parts of Speech tagging of each word of the sentence
• Identifying various conditions of occurrences and presence of Verb, Adverb, Adjective, Noun etc in each sentence
• Accordingly, marking the presence of words of positive and negative sentiment and order of their occurence
• Considering negation
• Checking for sarcasm on basis of presence of punctuation(currently)
• Checking presence of emoticons in the text

This method can provide result in the following range.

• 0 indicates neutral sentiment.
• Positive value indicates positive sentiment.
• Negative value indicates negative sentiment.
• 99 indicates sarcasm.

calculate_sentiment()

This function loads text and calculates sentiment of each sentence. This function uses the score predicted by calculate_score method to classify the sentences. It classifies sentences into 6 categories:

• Positive
• Negative
• Very Positive
• Very Negative
• Sarcasm
• Neutral

calculate_total_presence_sentiment()

This function loads text and calculates number of sentences under each category of

• Positive
• Negative
• Very Positive
• Very Negative
• Neutral
• Sarcasm.