Sentiment Drift Detection and Analysis in Real Time Twitter Data Streams

Author:

Susi E.,P. Shanthi A.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Reference37 articles.

1. A survey of sentiment analysis from social media data;Chakraborty;IEEE Transactions on Computational Social Systems,2020

2. A survey of twitter research: Data model, graph structure, sentiment analysis and attacks;Antonakaki;Expert Systems with Applications,2021

3. Sentiment analysis on big sparse data streams with limited labels;Iosifidis;Knowledge and Information Systems,2020

4. Addressing event-driven concept drift in twitter stream: A stance detection application;Bechini;IEEE Access,2021

5. J. Devlin, M. W. Chang, K. Lee and K. Toutanova, “BERT: Pre-training of deep bidirectional transformers for language understanding,” arXiv preprint arXiv: 1810.04805, 2018.

Cited by 1 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. Transformer based Twitter Trending Topics Sentiment Drift Analysis in Real Time;2023 12th International Conference on Advanced Computing (ICoAC);2023-08-17

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