TWEERIFY: A Web-Based Sentiment Analysis System Using Rule and Deep Learning Techniques-Reference-Cited by-同舟云学术

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TWEERIFY: A Web-Based Sentiment Analysis System Using Rule and Deep Learning Techniques

Published:2022 Issue: Volume: Page:75-87
ISSN:2367-4512
Container-title:Proceedings of International Conference on Computational Intelligence and Data Engineering
language:
Short-container-title:

Author:

Akande Oluwatobi Noah,Nnaemeka Enemuo Stephen,Abikoye Oluwakemi Christiana,Akande Hakeem Babalola,Balogun Abdullateef,Ayoola Joyce

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7182-1_7

Reference10 articles.

1. Zhang L, Wang S, Liu B (2018) Deep learning for sentiment analysis : a survey. https://doi.org/10.1002/widm.1253

2. Yang C, Zhang H, Jiang B, Li K (2019) Aspect-based sentiment analysis with alternating coattention networks. Inf Process Manage 56(3):463–478. https://doi.org/10.1016/j.ipm.2018.12.004

3. Akande NO, Abikoye CO, Adebiyi MO, Kayode AA, Adegun AA, Ogundokun RO (2019) Electronic medical information encryption using modified blowfish algorithm. In: International conference on computational science and its applications. Springer, Cham, pp 166–179. https://doi.org/10.1007/978-3-030-24308-1_14

4. Abikoye OC, Haruna AD, Abubakar A, Akande NO, Asani EO (2019) Modified advanced encryption standard algorithm for information security. Symmetry 11:1–17. https://doi.org/10.3390/sym11121484

5. Oladipupo ET, Christianah AO, Oluwatobi AN, Aderonke KA, Kehinde AJ (2020) Comparative study of two divide and conquer sorting algorithms: quicksort and mergesort. Procedia Comput Sci 171:2532–2540. https://doi.org/10.1016/j.procs.2020.04.274

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1. Analysing public sentiment towards robotic surgery: an X (formerly Twitter) based study;Social Network Analysis and Mining;2024-03-16

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