Text-Based Sentiment Analysis Using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Text-Based Sentiment Analysis Using Deep Learning Techniques

Published:2022 Issue: Volume: Page:81-100
ISSN:2197-6503
Container-title:Studies in Big Data
language:
Short-container-title:

Author:

Kadu Siddhi^ORCID,Joshi Bharti^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10869-3_5

Reference26 articles.

1. Tembhurne, J.V., Diwan, T.: Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks. Multimed. Tools Appl. 80(5), 6871–6910 (2021)

2. Al-Moslmi, T., Ocaña, M.G., Opdahl, A.L., Veres, C.: Named entity extraction for knowledge graphs: a literature overview. IEEE Access 8, 32862–32881 (2020)

3. Otter, D.W., Medina, J.R., Kalita, J.K.: A survey of the usages of deep learning for natural language processing. IEEE Trans. Neural Netw. Learn. Syst. 32(2), 604–624 (2020)

4. Duong, H.T., Nguyen-Thi, T.A.: A review: preprocessing techniques and data augmentation for sentiment analysis. Comput. Soc. Netw. 8(1), 1–16 (2021)

5. Yadav, A., Vishwakarma, D.K.: Sentiment analysis using deep learning architectures: a review. Artif. Intell. Rev. 53(6), 4335–4385 (2020)

Cited by 2 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 CONSUMER SENTIMENT ANALYSIS METHOD BASED ON EEG SIGNALS AND A RESNEXT MODEL;Journal of Mechanics in Medicine and Biology;2024-03

2. Sentimental Analysis on IMDb Movies Review using BERT;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06

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