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1. Sentiment-Analysis Sentiment-Analysis Public

   analysis application developed with Streamlit, designed to facilitate the evaluation of review sentiments—positive or negative—by leveraging a pre-trained machine learning model. Users can input re…

   Python 1

2. twitter_sentiment_analysis twitter_sentiment_analysis Public

   Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analy…

   Python 1

3. TubeMetrics-Advanced-Analysis-for-YouTube-Channels TubeMetrics-Advanced-Analysis-for-YouTube-Channels Public

   allows users to analyze YouTube channels by entering their handle. It fetches metrics such as subscriber count, view count, and engagement rates, integrates with Social Blade, and ranks channels ba…

   Python 1

4. youtube_sentiment_analysis_API youtube_sentiment_analysis_API Public

   analyzes sentiment in YouTube video comments using the YouTube Data API and a pre-trained model. It fetches comments, performs sentiment analysis, and visualizes the results on a web interface.

   Python 2

5. facebook_sentiment_analysis_token facebook_sentiment_analysis_token Public

   analyze the sentiment of Facebook posts and visualize the results in a histogram. It connects to Facebook's Graph API to fetch posts, preprocesses the text, performs sentiment analysis, and display…

   Python 1

6. Real-Time-Cyber-Incident-Monitoring-and-Analysis-Tool Real-Time-Cyber-Incident-Monitoring-and-Analysis-Tool Public

   This project is a Real-Time Cyber Incident Monitoring and Analysis Tool designed to collect, analyze, and visualize cyber incident data from various sources like social media platforms and news fee…

   Python 12 7