Sentiment analysis, Using computer programs and word dictionaries to automatically measure emotions in text, Corpus, The whole collection of texts being analyzed, Tokenization, Splitting text into individual words (tokens), Stop words, Very common words removed before analysis (e.g., "la", "de", "the"), Unit of analysis, The thing that gets a score: a word, a tweet, a document, Coverage, The share of words in a text that the lexicon recognizes, Normalizing, Dividing counts by text length so long and short texts can be compared, NRC Emotion Lexicon, A crowd-coded word list linking words to 8 emotions plus positive/negative, Plutchik's eight emotions, Anger, anticipation, disgust, fear, joy, sadness, surprise, trust, Full vs. pruned data, All tweets vs. only tweets containing at least one dictionary word
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