Abstract:
In this research, we predict the opinion of customers by evaluating reviews pertaining to wireless Bluetooth earbuds. Actually, Numerous research studies have concentrate...Show MoreMetadata
Abstract:
In this research, we predict the opinion of customers by evaluating reviews pertaining to wireless Bluetooth earbuds. Actually, Numerous research studies have concentrated on the use of statistical and machine learning approaches for different text and reviews of online products. In this paper, we study the performances of different deep learning algorithms, such as convolutional neural networks, and recurrent neural networks. In addition, we introduce an innovative deep learning approach for sentiment analysis, by using the dataset of product reviews obtained from Amazon, Our proposed model surpasses several advanced deep learning models, achieving an accuracy of 88.06%.
Date of Conference: 07-09 September 2023
Date Added to IEEE Xplore: 21 December 2023
ISBN Information:
ISSN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Machine Learning ,
- Deep Learning ,
- Learning Algorithms ,
- Convolutional Neural Network ,
- Deep Learning Models ,
- Recurrent Neural Network ,
- Sentiment Analysis ,
- Product Reviews ,
- Performance Of Different Algorithms ,
- Numerous Research Studies ,
- Artificial Neural Network ,
- Classification Task ,
- F1 Score ,
- Confusion Matrix ,
- Dense Layer ,
- Deep Learning Techniques ,
- Word Embedding ,
- Dropout Layer ,
- Text Classification ,
- LSTM Model ,
- Objective Statement ,
- CNN Model ,
- Preprocessing Stage ,
- Customer Reviews ,
- Deep Learning Classification
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Machine Learning ,
- Deep Learning ,
- Learning Algorithms ,
- Convolutional Neural Network ,
- Deep Learning Models ,
- Recurrent Neural Network ,
- Sentiment Analysis ,
- Product Reviews ,
- Performance Of Different Algorithms ,
- Numerous Research Studies ,
- Artificial Neural Network ,
- Classification Task ,
- F1 Score ,
- Confusion Matrix ,
- Dense Layer ,
- Deep Learning Techniques ,
- Word Embedding ,
- Dropout Layer ,
- Text Classification ,
- LSTM Model ,
- Objective Statement ,
- CNN Model ,
- Preprocessing Stage ,
- Customer Reviews ,
- Deep Learning Classification
- Author Keywords
