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More than Bags of Words: Sentiment Analysis with Word Embeddings
2018
Communication Methods and Measures
Moving beyond the dominant bag-of-words approach to sentiment analysis we introduce an alternative procedure based on distributed word embeddings. The strength of word embeddings is the ability to capture similarities in word meaning. We use word embeddings as part of a supervised machine learning procedure which estimates levels of negativity in parliamentary speeches. The procedure's accuracy is evaluated with crowdcoded training sentences; its external validity through a study of patterns of
doi:10.1080/19312458.2018.1455817
fatcat:xwmzgreqfnaohlu3rsy47zsawe