Sentiment Analysis of Elon Musk’s Twitter Data Using LSTM and ANFIS-SVM-Reference-Cited by-同舟云学术

Sentiment Analysis of Elon Musk’s Twitter Data Using LSTM and ANFIS-SVM

Published:2022 Issue: Volume: Page:626-635
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Erkartal Buğra^ORCID,Yılmaz Atınç^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09176-6_70

Reference12 articles.

1. URL: TheVerge homepage. https://www.theverge.com/2018/8/7/17661178/tesla-elon-musk-private-420-share-considering. Accessed 18 Mar 2022

2. URL: bussinessinsider homepage. https://markets.businessinsider.com/news/stocks/37-in-a-recent-survey-say-theyve-made-trades-based-on-an-elon-musk-tweet-2021-3-1030164612. Accessed 18 Mar 2022

3. Parveen, H., Pandey, S.: Sentiment analysis on Twitter data-set using Naive Bayes algorithm. In: 2016 2nd international conference on applied and theoretical computing and communication technology (iCATccT), pp. 416–419 (2016)

4. Neethu, M.S., Rajasree, R.: Sentiment analysis in twitter using machine learning techniques. In: 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), pp. 1–5 (2013)

5. Sankhla, N., Ram, S.: Sentiment analysis of Twitter datasets using support vector machine and Naive Bayes classifiers (2018)

Cited by 3 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. An Efficient Approach to Analysis Sentiment on Social Media Data Using Bi-long Short Time Memory Network;Algorithms for Intelligent Systems;2024

2. Sentiment analysis using fuzzy logic: A comprehensive literature review;WIREs Data Mining and Knowledge Discovery;2023-06-20

3. Data Extraction and Visualization of Form-Like Documents;Proceedings of International Conference on Computational Intelligence and Data Engineering;2023