Sentiment Analysis of Movie Reviews Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Sentiment Analysis of Movie Reviews Using Machine Learning Techniques

Published:2021-09-24 Issue: Volume: Page:361-369
ISSN:2367-3370
Container-title:Proceedings of Sixth International Congress on Information and Communication Technology
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Author:

Tran Duc Duy,Nguyen Thi Thanh Sang,Dao Tran Hoang Chau

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-2377-6_34

Reference10 articles.

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2. Song M, Chambers T (2014) Text mining with the Stanford CoreNLP. In: Ding Y, Rousseau R, Wolfram D (eds) Measuring scholarly impact. Springer, Cham

3. Ngo VM (2014) Machine learning based English sentiment analysis. J Sci Technol 52(4D):142–155

4. Weka (2020) The workbench for machine learning. https://www.cs.waikato.ac.nz/ml/weka/. Accessed 15 Nov 2020

5. Brownlee J (2014) Make better predictions with boosting, bagging and blending ensembles in Weka. In: Weka machine learning. https://machinelearningmastery.com/improve-machine-learning-results-with-boosting-bagging-and-blending-ensemble-methods-in-weka/. Accessed 28 Feb 2014

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