Determining the Sentiment of a Document
Explore how to analyze sentiment in documents using R. Understand methods like emotion lexicons and how sentiment scores reflect the emotional tone of text. Learn essential NLP techniques to interpret subjective content and evaluate positive, negative, and nuanced emotions.
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Understanding sentiment analysis
Sentiment analysis extracts subjective emotional intent from text. It attempts to attach positive or negative values. Sometimes, it may provide additional ratings for anger, anticipation, disgust, fear, joy, sadness, surprise, or trust.
Sentiment analysis can be a simple rule-based system, such as counting the number of positive and negative words. It may also be based on a more complex machine learning algorithm, such as a support vector machine (SVM) or a recurrent neural network (RNN).
Sentiment analysis is useful in a variety of applications, such as brand reputation management, customer service, and political ...