Welcome to the Reddit Sentiment Analysis project! This project focuses on analyzing sentiments expressed in comments scraped from Reddit on Israel-Hamas conflit using a dedicated scraping script. The goal is to gain insights into the emotional tone of the discussions and understand the sentiments of the Reddit community.
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Sentiment Detection: The core functionality revolves around detecting sentiments in the collected comments. We employ state-of-the-art natural language processing techniques to categorize comments into positive, negative, or neutral sentiments.
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Scraping Script: A robust scraping script is provided to collect comments from Reddit. This ensures a constant influx of data for sentiment analysis.
At the heart of this project lies the accurate classification of sentiments. We've implemented various classification algorithms, and you can compare their performance using the provided accuracy metrics.
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Algorithms Included:
- Support Vector Machines (SVM)
- Random Forest
- Logistic Regression
- Decision Tree
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Evaluate and Compare:
- Utilize the accuracy comparison section to identify the most effective algorithm for your specific dataset.
This project not only provides a comprehensive sentiment analysis of Reddit comments on Israel-Hamas conflict but also allows you to fine-tune your sentiment classification model based on algorithmic performance.
Feel free to contribute, enhance, and customize this project to suit your specific needs. Happy sentiment analysis!