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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.