An Ensemble Machine Learning Approach for Twitter Sentiment Analysis
COLINS 2022, pp. 387-397
Editorial summary
Tweets are represented through word and word-pair features and tested with several machine-learning classifiers. Predictions from the strongest models are combined by majority vote. Experiments compare text representations, individual models and the final ensemble for classifying emotional expression.
Bibliographic reference
Use the publisher’s record for the citation format required by your journal or organisation.
Pavlo Radiuk, Olga Pavlova, Nadiia Hrypynska. "An Ensemble Machine Learning Approach for Twitter Sentiment Analysis". COLINS 2022, pp. 387-397, 2022.
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