BigDataFr recommends: Does sentiment analysis work? A tidy analysis of Yelp reviews

[…] This year Julia Silge and I released the tidytext package for text mining using tidy tools such as dplyr, tidyr, ggplot2 and broom. One of the canonical examples of tidy text mining this package makes possible is sentiment analysis.
Sentiment analysis is often used by companies to quantify general social media opinion (for example, using tweets about several brands to compare customer satisfaction). One of the simplest and most common sentiment analysis methods is to classify words as “positive” or “negative”, then to average the values of each word to categorize the entire document. But does this method actually work? Can you predict the positivity or negativity of someone’s writing by counting words?.[…]

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By David Robinson
Source: varianceexplained.org