Toward multi-label sentiment analysis: a transfer learning based approach
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Open Access
- 6 January 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Big Data
- Vol. 7 (1), 1-26
- https://doi.org/10.1186/s40537-019-0278-0
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- RubE: Rule-based methods for extracting product features from online consumer reviewsInformation & Management, 2017
- Adapting sentiment lexicons to domain-specific social media textsDecision Support Systems, 2017
- HARAM: A Hierarchical ARAM Neural Network for Large-Scale Text ClassificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- Sentiment analysis using product review dataJournal of Big Data, 2015
- A multi-label classification based approach for sentiment classificationExpert Systems with Applications, 2015
- An extensive experimental comparison of methods for multi-label learningPattern Recognition, 2012
- An Empirical Study of Lazy Multilabel Classification AlgorithmsLecture Notes in Computer Science, 2008
- ML-KNN: A lazy learning approach to multi-label learningPattern Recognition, 2007
- Learning multi-label scene classificationPattern Recognition, 2004
- Long Short-Term MemoryNeural Computation, 1997