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Israel---Palestine-Reddit-Users-Sentiment-Analysis

Reddit Sentiment Analysis on Israel-Palestine War After Trump’s Inauguration

This project analyzes Reddit user opinions and sentiment on the Israel-Palestine war, focusing on the period after Donald Trump took office (January 20, 2025). Using a dataset of daily Reddit comments, I classified user stances (Palestine, Israel, Neutral) and performed sentiment analysis with custom keyword dictionaries and machine learning models.

Key Findings:

  1. Highly Polarized Community: Most Reddit users take a clear side, with nearly equal numbers supporting Palestine and Israel. Only a small minority remain neutral.

  2. Overwhelmingly Negative Tone: Negative sentiment dominates both user opinions and comments for all sides. Positive perspectives are extremely rare, and neutral sentiment is mainly found among users not taking a side.

  3. Consistent Engagement Patterns: User activity and comment volume are much higher among those taking sides, with spikes corresponding to major events. Neutral participation remains low and steady.

  4. No Positive Shift Post-Inauguration: Despite expectations that a new U.S. president might change the tone or outlook, the data shows no sign of improvement or optimism. The conversation remains deeply divided and negative throughout the analyzed period.

Conclusion: Reddit discussions about the Israel-Palestine conflict remain tense, polarized, and overwhelmingly negative, with no evidence of positive change or reduced polarization after the change in U.S. leadership.

For the main dataset, You can download it at:

https://www.kaggle.com/datasets/asaniczka/reddit-on-israel-palestine-daily-updated

And for the powerBI visualization and final dataset you can access it at:

https://drive.google.com/drive/folders/1ykvuXZRym9yS3BITDzCKy-6cmlt8tC7q?usp=sharing

About

This project analyzes Reddit user sentiment on the Israel-Palestine conflict after Donald Trump took office (January 20, 2025). Using daily Reddit comments, I classified user stances (Palestine, Israel, Neutral) and performed sentiment analysis with custom keyword dictionaries and machine learning models.

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