sentimentr is designed to quickly calculate text polarity sentiment in the English language at the sentence level and optionally aggregate by rows or grouping variable(s).
sentimentr attempts to take into account valence shifters (i.e., negators, amplifiers (intensifiers), de-amplifiers (downtoners), and adversative conjunctions) while maintaining speed. Simply put, sentimentr is an augmented dictionary lookup. The next questions address why it matters.
This is free and open source software.
Website: github.com/trinker/sentimentr
Support:
Developer: Tyler Wade Rinker
License: MIT License
sentimentr is written in R. Learn R with our recommended free books and free tutorials.
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