Analyzing Sentiment and Unveiling Geopolitical Perspectives: A Comprehensive Study of Reddit Comments on the Contemporary Israel-Palestine Conflict

The ongoing Israel-Palestine conflict has triggered intense discussions on various social media platforms, reflecting the diverse perspectives and sentiments of users worldwide. In this study, we present a comprehensive analysis of Reddit comments related to the conflict. The aim is to understand the prevailing sentiments and geopolitical stances expressed by users in this dynamic and sensitive context. Our research comprised three key phases. In the initial stage, we conducted data labeling on a dataset containing 436,725 Reddit comments using the VADER tool, labeling them as Positive, Negative, and Neutral sentiments. Subsequently, our work progressed to the second stage, wherein Latent Dirichlet Allocation (LDA) was employed for topic modeling, shedding light on the geopolitical perspectives expressed by users. Transitioning to the third stage, we utilized Logistic Regression (LR), Stochastic Gradient Descent (SGD), Support Vector Classifier (SVC), and Naive Bayes (NB) as learning algorithms to classify sentiments, with a focus on Accuracy, F1 Score, Precision, and Recall for performance evaluation. Notably, our experimental findings highlighted that the Logistic Regression model demonstrated the highest accuracy, achieving 96.96%.