UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 11 Issue 11
November-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2411471


Registration ID:
551204

Page Number

e630-e637

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Title

Sentiment Analysis On Israel-Palestine Reddit Dataset

Abstract

This research focuses on sentiment analysis of Reddit data related to the Israel-Palestine conflict using a fine-tuned BERT model. Our goal is to classify sentiments into three categories: neutral, with Palestine, and with Israel. To achieve this, we employed two datasets comprising Reddit posts and comments. The datasets were preprocessed to combine post titles, post content, and comments into single sentences for comprehensive analysis. The methodology involved tokenizing the text using the DistilBERT tokenizer and fine-tuning the DistilBERT model on our specific task. We split the data into training, validation, and test sets to ensure robust model evaluation. The model was trained for four epochs, with careful tuning of hyperparameters to optimize performance. Our results showed that the BERT model performed well in classifying sentiments, with distinct differences observed between the combined dataset and the comments-only dataset. The evaluation metrics included accuracy, precision, recall, and F1-score, with a confusion matrix providing a clear visualization of the model’s performance. The best model achieved a high validation accuracy, indicating its effectiveness in sentiment classification for this context. In conclusion, this study demonstrates the capability of BERT in understanding and classifying sentiments on complex political issues using social media data. The findings highlight the importance of combining various text elements to capture the full context of user sentiments. This research contributes to the field of sentiment analysis by applying advanced NLP techniques to a highly polarized and sensitive topic, providing insights that can aid in understanding public opinion and its implications. Future work could explore using other transformer models or expanding the dataset to include more diverse sources.

Key Words

Israel , Palestine , Bert , Tokenization , Sentiment

Cite This Article

"Sentiment Analysis On Israel-Palestine Reddit Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.e630-e637, November-2024, Available :http://www.jetir.org/papers/JETIR2411471.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Sentiment Analysis On Israel-Palestine Reddit Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppe630-e637, November-2024, Available at : http://www.jetir.org/papers/JETIR2411471.pdf

Publication Details

Published Paper ID: JETIR2411471
Registration ID: 551204
Published In: Volume 11 | Issue 11 | Year November-2024
DOI (Digital Object Identifier):
Page No: e630-e637
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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