Open Access
Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
---|---|---|
Article Number | 01045 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/e3sconf/202343001045 | |
Published online | 06 October 2023 |
- G. Kavitha, B. Saveen, N. Imtiaz, Discovering Public Opinions by Performing Sentimental Analysis on Real Time Twitter Data, in Proceedings of the 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET), Kottayam, India (2018) [Google Scholar]
- Aslam, U. Qamar, R. A. Khan, P. Saqib, A. Ahmad, A. Qadeer, Opinion Mining Using Live Twitter Data, in Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering (CSE), IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 01-03 August 2019, New York, NY, USA (2019) [Google Scholar]
- Y. Chandra, A. Jana, Sentiment Analysis using Machine Learning and Deep Learning, in Proceedings of the 2020 7th International Conference on Computing for Sustainable Global Development, INDIACom, New Delhi, India (2020) [Google Scholar]
- R. S. Kathuria, S. Gautam, A. Singh, S. Khatri, N. Yadav, Real Time Sentiment Analysis On Twitter Data Using Deep Learning (Keras), in Proceedings of the 2019 International Conference on Computing, Communication, and Intelligent Systems,ICCCIS, Greater Noida, India (2019) [Google Scholar]
- K. S. Madhu, B. C. Reddy, C. Damarukanadhan, M. Polireddy, N. Ravinder, Real Time Sentimental Analysis on Twitter, in Proceedings of the 2021 6th International Conference on Inventive Computation Technologies, ICICT, Coimbatore, India, (2021) [Google Scholar]
- M. R. Hasan, M. Maliha, M. Arifuzzaman, Sentiment Analysis with NLP on Twitter Data, in Proceedings of the 2019 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, IC4ME2019, Rajshahi, Bangladesh (2019) [Google Scholar]
- V. S. Pagolu, K. N. Reddy, G. Panda, B. Majhi, Sentiment analysis of Twitter data for predicting stock market movements, in Proceedings of the 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi, India (2016) [Google Scholar]
- N. Sharma, V. Jain, Evaluation and summarization of student feedback using sentiment analysis, in Proceedings of the Advanced Machine Learning Technologies and Applications, (AMLTA2021), Springer Singapore (2021) [Google Scholar]
- R. P. Ram Kumar, S. Polepaka, Intl. J. Rec. Tech. Engg 7, 5C (2019) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.