๐
๐
Old Age
Sentiment Analysis of Twitter Posts on Global Conflicts
November 21, 2023 ยท Declared Dead ยท ๐ 2023 International Conference on Computational Science and Computational Intelligence (CSCI)
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Ujwal Sasikumar, Ank Zaman, Abdul-Rahman Mawlood-Yunis, Prosenjit Chatterjee
arXiv ID
2312.03715
Category
cs.CL: Computation & Language
Cross-listed
cs.LG,
cs.SI
Citations
5
Venue
2023 International Conference on Computational Science and Computational Intelligence (CSCI)
Last Checked
5 months ago
Abstract
Sentiment analysis of social media data is an emerging field with vast applications in various domains. In this study, we developed a sentiment analysis model to analyze social media sentiment, especially tweets, during global conflicting scenarios. To establish our research experiment, we identified a recent global dispute incident on Twitter and collected around 31,000 filtered Tweets for several months to analyze human sentiment worldwide.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computation & Language
๐
๐
Old Age
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
๐
๐
Old Age
XLNet: Generalized Autoregressive Pretraining for Language Understanding
๐ฎ
๐ฎ
The Ethereal
Effective Approaches to Attention-based Neural Machine Translation
๐
๐
Old Age
A large annotated corpus for learning natural language inference
๐
๐
Old Age
HellaSwag: Can a Machine Really Finish Your Sentence?
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
๐ป
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
๐ป
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
๐ป
Ghosted