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rsentiment's Introduction

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.

rsentiment's People

Contributors

subhasreebose avatar

Watchers

James Chang avatar  avatar

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