An N-gram-Based BERT model for Sentiment Classification Using Movie Reviews

Author:

Trueman Tina Esther1,Jayaraman Ashok Kumar2,Cambria Erik3,Ananthakrishnan Gayathri4,Mitra Satanik5

Affiliation:

1. University of the People,Department of Computer Science,United States

2. Information Science and Technology Anna University,Chennai,India

3. VIT University,Department of Information Technology,Vellore,India

4. Nanyang Technological University,Computer Science and Engineering,Singapore

5. Indian Institute of Technology,Department of ISE,Kharagpur

Funder

UGC (University Grants Commission)

Publisher

IEEE

Reference32 articles.

1. Emotion and sentiment in social and expressive media: Introduction to the special issue

2. Clustering Social Networks Using Interaction Semantics and Sentics

3. Classification of sentiment reviews using n-gram machine learning approach

4. Baselines and bigrams: Simple, good sentiment and topic classification;wang;Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics,0

5. Metrics for multi-class classification: an overview;grandini;ArXiv Preprint,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Transformer Based Deep Learning Approach of Sentiment Analysis for Movie Reviews;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02

2. Literature Review on N-Gram Text Classification Models for Hotel Reviews Sentiment Analysis;Algorithms for Intelligent Systems;2024

3. Sentiment Knowledge Graph: Explore and Evaluate the Social Media Content;Data-Intensive Research;2024

4. XLNet Transfer Learning Model for Sentimental Analysis;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

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