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Title: :  Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms
PaperId: :  22924
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22924
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr. Chinna Pentu SahebVasireddy Venkatadri Institute of Technology
Devella NaveenVasireddy Venkatadri Institute of Technology
Gontla ViswaksenVasireddy Venkatadri Institute of Technology
Choppara LayaVasireddy Venkatadri Institute of Technology
Annabathuni Babu Raghava Satya PrasadVasireddy Venkatadri Institute of Technology

Abstract

Computer Engineering
Light-GBM,XG-Boost,Text Tokenization, Stopword Removal, one-hot encoding, Word2Vec embeddings,or ALBERT Tokinizer or Word2Vec embeddings, BiLSTM.
Sentiment analysis plays a crucial role in understanding customer feedback and improving product quality. This project presents a machine learning approach that focuses on classifying customer product reviews based on sentiment using advanced techniques and boosting algorithms. The aim is to streamline the process of assessing customer opinions, enabling product owners to enhance their offerings efficiently, rather than manually analyzing each review. The project leverages the Amazon Product Reviews dataset from Kaggle.com to train and test various machine learning models, with a primary focus on four key algorithms: BiLSTM, CatBoost, XGBoost, and LightGBM. Each of these algorithms demonstrates impressive accuracy in sentiment classification, with BiLSTM achieving 93.17% and LightGBM reaching 90.38%, showcasing their proficiency in capturing the nuances of customer sentiments. To further enhance the accuracy of sentiment analysis, two distinct modules, Count Vectorizer and Tf-IDF Vectorizer, are incorporated to preprocess and represent the text dataset. This project systematically compares the performance of these modules, shedding light on the most effective approach for training the models.

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IJARIIE Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. "Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 1480-1488
MLA Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. "Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 1480-1488.
APA Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, & Annabathuni Babu Raghava Satya Prasad. (2024). Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 1480-1488.
Chicago Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. "Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 1480-1488.
Oxford Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. 'Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 1480-1488. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Amazon_Product_Reviews_Sentiment_Analysis_Using_ALBERT_and_Boosting_Algorithms_ijariie22924.pdf (Accessed : ).
Harvard Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. (2024) 'Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 1480-1488IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Amazon_Product_Reviews_Sentiment_Analysis_Using_ALBERT_and_Boosting_Algorithms_ijariie22924.pdf (Accessed : )
IEEE Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad, "Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 1480-1488, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Amazon_Product_Reviews_Sentiment_Analysis_Using_ALBERT_and_Boosting_Algorithms_ijariie22924.pdf [Accessed : ].
Turabian Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. "Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Mr. Chinna Pentu Saheb, Devella Naveen, Gontla Viswaksen, Choppara Laya, and Annabathuni Babu Raghava Satya Prasad. Amazon Product Reviews Sentiment Analysis Using ALBERT and Boosting Algorithms. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 1480-1488. Available from: https://ijariie.com/AdminUploadPdf/Amazon_Product_Reviews_Sentiment_Analysis_Using_ALBERT_and_Boosting_Algorithms_ijariie22924.pdf
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