Abstract
Digital reviews now have a significant impact on how consumers communicate globally and the effect of review on online purchases. Sentiment analysis is one of most common field for analysing and extracting information from data of text format from multiple platforms like Facebook, Amazon, Twitter, and others. This research aims to discuss and analyse the sentiments stated in Amazon product reviews using Support Vector Machine (SVM), Naive Bayes, Random Forest, and Decision Tree algorithms. The machine learning algorithms classify reviews as positive or negative. The performance of the algorithms is evaluated in terms of metrics such as accuracy, precision, recall and F score. As per the validated results, SVM performs better on accuracy rate compared to the other algorithms.
References
https://www.simplilearn.com/tutorials/machine-learning-tutorial/types-of-machine-learning
https://www.sellerapp.com/blog/how-to-respond-to-negative-reviews/
Jagdale, R.S., Shirsat, V.S., Deshmukh, S.N. (2019). Sentiment Analysis on Product Reviews Using Machine Learning Techniques. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_61
M. A. Shafin, M. M. Hasan, M. R. Alam, M. A. Mithu, A. U. Nur and M. O. Faruk, "Product Review Sentiment Analysis by Using NLP and Machine Learning in Bangla Language," 2020 23rd International Conference on Computer and Information Technology (ICCIT), DHAKA, Bangladesh, 2020, pp. 1-5, doi: 10.1109/ICCIT51783.2020.9392733.
B. K. Bhavitha, A. P. Rodrigues and N. N. Chiplunkar, "Comparative study of machine learning techniques in sentimental analysis," 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, India, 2017, pp. 216-221, doi: 10.1109/ICICCT.2017.7975191.
S. Dey, S. Wasif, D. S. Tonmoy, S. Sultana, J. Sarkar and M. Dey, "A Comparative Study of Support Vector Machine and Naive Bayes Classifier for Sentiment Analysis on Amazon Product Reviews," 2020 International Conference on Contemporary Computing and Applications (IC3A), Lucknow, India, 2020, pp. 217-220, doi: 10.1109/IC3A48958.2020.233300.
A.Poornima and K. S. Priya, "A Comparative Sentiment Analysis Of Sentence Embedding Using Machine Learning Techniques," 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, 2020, pp. 493-496, doi: 10.1109/ICACCS48705.2020.9074312.
https://www.kaggle.com/datasets/datafiniti/consumer-reviews-of-amazon-products
https://www.geeksforgeeks.org/sklearn-feature-extraction-with-tf-idf/