Published July 30, 2023
| Version CC BY-NC-ND 4.0
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Product Review Classification using Machine Learning and Statistical Data Analysis
Description
Abstract: The aim of the paper is to implement and analyze the machine learning models for product review dataset. The project focuses on binary classification, multi-class classification, and clustering approaches to analyze and categorize product reviews. The performance of the models over each of the five classification tasks is measured by the 5-fold cross-validation scores over the training data.
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- Is cited by
- Journal article: 2277-3878 (ISSN)
References
- https://www.researchgate.net/publication/342890321_Mac hine_Learning_A_Review_of_Learning_Types
- https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.L ogisticRegression.html
- https://machinelearningmastery.com/types-of-classification-in-machine-learning/
- https://en.wikipedia.org/wiki/Binary_classification
- https://scikitlearn.org/stable/auto_examples/model_selectio n/plot_roc.html
- https://www.educative.io/answers/classification-vs-clustering
Subjects
- ISSN: 2277-3878 (Online)
- https://portal.issn.org/resource/ISSN/2277-3878#
- Retrieval Number: 100.1/ijrte.A75300512123
- https://www.ijrte.org/portfolio-item/A75300512123/
- Journal Website: www.ijrte.org
- https://www.ijrte.org/
- Publisher: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
- https://www.blueeyesintelligence.org/