Publications by: Sisi Liu

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Number of items: 9.

Liu, Sisi, and Lee, Ickjai (2021) Sequence encoding incorporated CNN model for Email document sentiment classification. Applied Soft Computing, 102. 107104.

Liu, Sisi, Lee, Kyungmi, and Lee, Ickjai (2020) Document-level multi-topic sentiment classification of email data with BiLSTM and data augmentation. Knowledge Based Systems, 197. 105918.

Liu, Sisi (2020) Document-level sentiment analysis of email data. PhD thesis, James Cook University.

Liu, Sisi, and Lee, Ickjai (2019) Extracting features with medical sentiment lexicon and position encoding for drug reviews. Health Information Science and Systems, 7 (11).

Liu, Sisi, and Lee, Ickjai (2018) Discovering sentiment sequence within email data through trajectory representation. Expert Systems with Applications, 99. pp. 1-11.

Liu, Sisi, and Lee, Ickjai (2018) Email sSentiment analysis through k-Means labeling and support vector machine classification. Cybernetics and Systems, 49 (3). pp. 181-199.

Liu, Sisi, and Lee, Ickjai (2018) Sentiment classification with medical word embeddings and sequence representation for drug reviews. In: Lecture Notes in Computer Science (11148) pp. 75-86. From: HIS 2018: 7th International Conference on Health Information Science, 5-7 October 2018, Cairns, QLD, Australia.

Liu, Sisi, Cai, Guochen, and Lee, Ickjai (2016) Sentiment clustering with topic and temporal information from large email dataset. In: 29th Pacific Asia Conference on Language, Information and Computation. Y16-3007. pp. 363-371. From: PACLIC 30: 30th Pacific Asia Conference on Language, Information and Computation, 28-30 October 2016, Seoul, South Korea.

Liu, Sisi, and Lee, Ickjai (2015) A hybrid sentiment analysis framework for large email data. In: Proceedings of 2015 10th International Conference on Intelligent Systems and Knowledge Engineering. pp. 324-330. From: 2015 10th International Conference on Intelligent Systems and Knowledge Engineering, 24-27 November 2015, Taipei.

This list was generated on Wed Dec 25 05:10:04 2024 AEST.