# Sentiment Analysis of Twitter Posts on Global Conflicts

arXiv: https://arxiv.org/abs/2312.03715 · HTML: https://mlsanity.com/paper/2312.03715/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 21 references that are in the map.
- First posted on arXiv 21 Nov 2023.

## Built on by (most cited first, 1 of 1)

- [Quantifying Extreme Opinions on Reddit Amidst the 2023 Israeli-Palestinian Conflict](https://mlsanity.com/paper/2412.10913/) (2024)

## Abstract (arXiv)

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.