An Ensemble Based Classification Approach for Persian Sentiment Analysis

Author:

Dashtipour Kia,Ieracitano Cosimo,Carlo Morabito Francesco,Raza Ali,Hussain Amir

Publisher

Springer Singapore

Reference33 articles.

1. Al-Smadi, M., Qawasmeh, O., Al-Ayyoub, M., Jararweh, Y., Gupta, B.: Deep recurrent neural network vs. support vector machine for aspect-based sentiment analysis of Arabic hotels reviews. J. Comput. Sci. 27, 386–393 (2018)

2. Al-Smadi, M., Talafha, B., Al-Ayyoub, M., Jararweh, Y.: Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews. Int. J. Mach. Learn. Cybern. 1–13 (2018)

3. Alimardani, S., Aghaie, A.: Opinion mining in Persian language using supervised algorithms (2015)

4. Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv:1607.04606 (2016)

5. Cambria, E., Poria, S., Hazarika, D., Kwok, K.: SenticNet 5: discovering conceptual primitives for sentiment analysis by means of context embeddings. In: Thirty-Second AAAI Conference on Artificial Intelligence (2018)

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