Sentiment classification with concept drift and imbalanced class distributions

• Main Authors: Jalilvand, A., Salima, N.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/74516/1/AbbasJalilvand2016_SentimentClassificationWithConceptDrift.pdf; http://eprints.utm.my/id/eprint/74516/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85005980458&doi=10.11113%2fjt.v78.10120&partnerID=40&md5=2e255dd836ba8cf4dd4ee3eecdee56ef
• Institution: Universiti Teknologi Malaysia

Document-level sentiment classification aims to automate the task of classifying a textual review, which is given on a single topic, as expressing a positive or negative sentiment. In general, people express their opinions towards an entity based on their characteristics which may change over time....