Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian

WS 2017 Paula GombarZoran Medi{\'c}Domagoj Alagi{\'c}Jan {\v{S}}najder

Sentiment lexicons are widely used as an intuitive and inexpensive way of tackling sentiment classification, often within a simple lexicon word-counting approach or as part of a supervised model. However, it is an open question whether these approaches can compete with supervised models that use only word-representation features... (read more)

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