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Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory.

, , , , , , and . ICWE, volume 9671 of Lecture Notes in Computer Science, page 317-334. Springer, (2016)

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Review-level aspect-based sentiment analysis using an ontology., , , , , and . SAC, page 315-322. ACM, (2018)Identifying Explicit Features for Sentiment Analysis in Consumer Reviews., , , , , and . WISE (1), volume 8786 of Lecture Notes in Computer Science, page 357-371. Springer, (2014)Heracles: A framework for developing and evaluating text mining algorithms., , , and . Expert Syst. Appl., (2019)WEB-SOBA: Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification., , , , , , and . ESWC, volume 12731 of Lecture Notes in Computer Science, page 340-355. Springer, (2021)Ontology-Enhanced Aspect-Based Sentiment Analysis., , and . ICWE, volume 10360 of Lecture Notes in Computer Science, page 302-320. Springer, (2017)Survey on Aspect-Level Sentiment Analysis., and . IEEE Trans. Knowl. Data Eng., 28 (3): 813-830 (2016)Detecting Economic Events Using a Semantics-Based Pipeline., , , , , and . DEXA (1), volume 6860 of Lecture Notes in Computer Science, page 440-447. Springer, (2011)Detection of Multiple Implicit Features per Sentence in Consumer Review Data., , , , , and . DB&IS, volume 615 of Communications in Computer and Information Science, page 289-303. Springer, (2016)Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data., , , and . IEEE Trans. Cybern., 48 (4): 1263-1275 (2018)Semantics-Driven Implicit Aspect Detection in Consumer Reviews., , , , , and . WWW (Companion Volume), page 109-110. ACM, (2015)