Abstract:
Social media such as Twitter, Instagram, and Facebook are the most popular
communication media used worldwide. Twitter is used to express user opinions and
emotions on something, both praising or criticizing. The emotions of Twitter user tweets
can be identified by sentiment and emotion analysis. Sentiment analysis is also carried
out to see the opinion on a problem by the public, whether it tends to have a negative or
positive opinion on the problem. Sentiment and emotion analysis in this study uses the
Lexicon Based method to get sentiment and emotion values from tweets based on the
available word dictionary (lexicon). Lexicon that being used is the NRC Emotion Lexicon
which has been translated into Indonesian Language.
