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Are there any R packages that focus on sentiment analysis? I have a small survey where users can write a comment about their experience of using a web-tool. I ask for a numerical ranking, and there is the option of including a comment.
I am wondering what the best way of assessing the positiveness or negativeness of the comment is. I would like to be able to compare it to the numerical ranking that the user provides, using R.
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You've just learned how to do sentiment analysis in R. You can now use sentiment to analyze data at scale, get insights and make data-driven decisions.
The SentimentAnalysis package introduces a powerful toolchain facilitating the sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as QDAP, Harvard IV and Loughran-McDonald. Furthermore, it can also create customized dictionaries.
Sentiment Analysis is a process of extracting opinions that have different scores like positive, negative or neutral. Based on sentiment analysis, you can find out the nature of opinion or sentences in text.
For Sentiment Analysis, we'll use VADER Sentiment Analysis, where VADER means Valence Aware Dictionary and sEntiment Reasoner. VADER is a lexicon and rule-based feeling analysis instrument that is explicitly sensitive to suppositions communicated in web-based media.
And there is this package:
sentiment: Tools for Sentiment Analysis
sentiment is an R package with tools for sentiment analysis including bayesian classifiers for positivity/negativity and emotion classification.
Update 14 Dec 2012: it has been removed to the archive...
Update 15 Mar 2013: the qdap package has a polarity function, based on Jeffery Breen's work
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