Corpus Statistics in Text Classification of Online Data
Transformation of Machine Learning (ML) from a boutique science to a generally accepted technology has increased importance of reproduction and transportability of ML studies. In the current work, we investigate how corpus characteristics of textual data sets correspond to text classification results. We work with two data sets gathered from sub-forums of an online health-related forum. Our empirical results are obtained for a multi-class sentiment analysis application.
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BIG-bench Machine LearningClassificationGeneral ClassificationSentiment Analysistext-classificationText ClassificationSimilar Papers 제목 키워드 기반
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