Sentiment Analysis of Tweets Related to the Gaza War
| dc.contributor.author | Haithem, Reguig Berra | |
| dc.contributor.author | Supervisor: Rahima, Bentercia | |
| dc.date.accessioned | 2025-07-08T10:40:28Z | |
| dc.date.available | 2025-07-08T10:40:28Z | |
| dc.date.issued | 2025-06-15 | |
| dc.description.abstract | This research aims to analyze the sentiment of Arabic tweets related to the Gaza conflict. The dataset was built by collecting tweets from social media platforms and previous studies, ensuring a diversity of dialects and perspectives. The tweets underwent preprocessing using a custom Python code, which included removing emojis, standardizing spellings, and removing ineffective common words. Sentiments were then manually classified as positive, negative, or neutral. A modified AraBERT model was trained to accurately perform the classification task. The final system allows for the input of new Arabic tweets and their sentiment analysis with high accuracy. | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/46795 | |
| dc.language.iso | en | |
| dc.publisher | Mohamed Boudiaf University of M'sila | |
| dc.subject | Sentiment Analysis | |
| dc.subject | HUMANITIES and RELIGION::Languages and linguistics::Other languages::Arabic language | |
| dc.subject | Tweets | |
| dc.subject | Gaza Conflict | |
| dc.subject | Deep Learning | |
| dc.subject | AraBERT | |
| dc.subject | NLP | |
| dc.subject | Classification | |
| dc.title | Sentiment Analysis of Tweets Related to the Gaza War | |
| dc.type | Thesis |