Open Access

Computational Intelligence-based Data Analytics for Sentiment Classification on Product Reviews


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Bhateja, V., Yang, X.S., Lin, J.C.W., & Das, R. (2023). Evolution in Computational Intelligence. Evolution. Search in Google Scholar

Diekson, Z.A., Prakoso, M.R.B., Putra, M.S.Q., Syaputra, M.S.A.F., Achmad, S., & Sutoyo, R. (2023). Sentiment analysis for customer review: Case study of Traveloka. Procedia Computer Science, 216, 682-690. Search in Google Scholar

Taherdoost, H., & Madanchian, M. (2023). Artificial intelligence and sentiment analysis: A review in competitive research. Computers, 12(2), 37. Search in Google Scholar

Mutinda, J., Mwangi, W., & Okeyo, G. (2023). Sentiment analysis of text reviews using lexicon-enhanced bert embedding (LeBERT) model with convolutional neural network. Applied Sciences, 13(3), 1445. Search in Google Scholar

Patruni, M.R., Angadi, A., Gorripati, S.K., & Saraswathi, P. (2023). Artificial Intelligence Techniques in Text and Sentiment Analysis. In Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 171-191). IGI Global. Search in Google Scholar

Do, H.H., Prasad, P.W.C., Maag, A., & Alsadoon, A. (2019). Deep learning for aspect-based sentiment analysis: a comparative review. Expert systems with applications, 118, 272-299. Search in Google Scholar

Haque, T.U., Saber, N.N., & Shah, F.M. (2018, May). Sentiment analysis on large scale Amazon product reviews. In 2018 IEEE international conference on innovative research and development (ICIRD) (pp. 1-6). IEEE. Search in Google Scholar

Fauzi, M.A. (2019). Word2Vec model for sentiment analysis of product reviews in Indonesian language. International Journal of Electrical and Computer Engineering, 9(1), 525. Search in Google Scholar

Verma, P., Dumka, A., Bhardwaj, A., & Ashok, A. (2022). Product Review-Based Customer Sentiment Analysis Using an Ensemble of mRMR and Forest Optimization Algorithm (FOA). International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-21. Search in Google Scholar

Sindhura, S., Praveen, S.P., Safali, M.A., & Rao, N. (2021, September). Sentiment Analysis for Product Reviews Based on Weakly-Supervised Deep Embedding. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 999-1004). IEEE. Search in Google Scholar

Krishnan, H., Elayidom, M.S., & Santhanakrishnan, T. (2022). Sentiment analysis of product reviews using weighted distance-based whale optimisation assisted deep belief network. International Journal of Business Information Systems, 39(2), 241-277. Search in Google Scholar

Bhuvaneshwari, P., Rao, A.N., Robinson, Y.H., & Thippeswamy, M.N. (2022). Sentiment analysis for user reviews using Bi-LSTM self-attention based CNN model. Multimedia Tools and Applications, 81(9), 12405-12419. Search in Google Scholar

Mehbodniya, A., Rao, M.V., David, L.G., Nigel, K.G.J., & Vennam, P. (2022). Online product sentiment analysis using random evolutionary whale optimization algorithm and deep belief network. Pattern Recognition Letters, 159, 1-8. Search in Google Scholar

Liu, Y., Lu, J., Yang, J., & Mao, F. (2020). Sentiment analysis for e-commerce product reviews by deep learning model of Bert-BiGRU-Softmax. Mathematical Biosciences and Engineering, 17(6), 7819-7837. Search in Google Scholar

Nandal, N., Tanwar, R., & Pruthi, J. (2020). Machine learning based aspect level sentiment analysis for Amazon products. Spatial Information Research, 28(5), 601-607. Search in Google Scholar

Sasikala, P., & Mary Immaculate Sheela, L. (2020). Sentiment analysis of online product reviews using DLMNN and future prediction of online product using IANFIS. Journal of Big Data, 7(1), 1-20. Search in Google Scholar

Onan, A. (2019, August). Deep learning based sentiment analysis on product reviews on Twitter. In International Conference on Big Data Innovations and Applications (pp. 80-91). Springer, Cham. Search in Google Scholar

Ferreira, R., Freitas, F., de Souza Cabral, L., Lins, R.D., Lima, R., França, G., Simskez, S.J., & Favaro, L. (2013, November). A four dimension graph model for automatic text summarization. In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) (Vol. 1, pp. 389-396). IEEE. Search in Google Scholar

Kumar, A., Narapareddy, V.T., Srikanth, V.A., Malapati, A., & Neti, L.B.M. (2020). Sarcasm detection using multi-head attention based bidirectional LSTM. Ieee Access, 8, 6388-6397 Search in Google Scholar

Ewees, A.A., Abd Elaziz, M., & Houssein, E.H. (2018). Improved grasshopper optimization algorithm using opposition-based learning. Expert Systems with Applications, 112, 156-172. Search in Google Scholar

Iqbal, A., Amin, R., Iqbal, J., Alroobaea, R., Binmahfoudh, A., & Hussain, M. (2022). Sentiment Analysis of Consumer Reviews Using Deep Learning. Sustainability, 14(17), 10844. Search in Google Scholar