Social Media Platforms Final Year Projects with Source Code
Social Media Platforms Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Social Media Platforms projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Social Media Platforms Final Year Projects
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A Machine Learning-Sentiment Analysis on Monkeypox Outbreak An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets
This project studies public reactions to the recent monkeypox outbreak by analyzing social media posts. Researchers collected over 500,000 tweets and labeled them as positive, negative, or neutral. They tested many machine learning models to find the best way to predict public sentiment. The study found that a model using TextBlob, lemmatization, CountVectorizer, and SVM gave the most accurate results, helping health authorities understand public concerns. -
A Novel Rumor Detection Method Based on Non-Consecutive Semantic Features and Comment Stance
This project focuses on detecting rumors on social media more accurately and quickly. It looks at both the hidden meaning in posts and the opinions of users who comment. The system gives more importance to trustworthy users and learns patterns over time. Tests show it can detect rumors faster and better than existing methods. -
Data Enrichment Toolchain A Data Linking and Enrichment Platform for Heterogeneous Data
This project focuses on making large amounts of data from IoT devices, social media, and public portals more useful. It introduces a tool called the Data Enrichment Toolchain (DET) that organizes and connects data from different sources. DET adds meaning to raw data, links it together, and creates new information that can be analyzed more effectively. The project shows how this enriched data can improve public services and decision-making. -
Data Analysis in Social Networks for Agribusiness A Systematic Review
This project studies how social networks like Twitter can help improve decision-making in agriculture. It looks at how companies can use online data to generate knowledge and respond to market changes. The researchers reviewed over 200 studies to see how social media supports agribusiness. They found that social media monitoring can complement traditional methods but more research is needed. -
Heterogenous Social Media Analysis For Efficient Deep Learning Fake-Profile Identification.
This project focuses on detecting fake social media accounts. It collects and analyzes data like posts, comments, images, videos, and user activities. The system uses deep learning to find patterns that show an account is fake. Tests show it can identify fake accounts with over 93% accuracy. -
BREE-HD A Transformer-Based Model to Identify Threats on Twitter
This project focuses on detecting online threats and harassment on social media, especially targeting women. The researchers created a dataset of tweets and built a transformer-based model called BREE-HD to classify them as sexist or non-sexist threats. The model achieves very high accuracy and uses explainable AI to show how it makes decisions. In the future, it could help identify harmful messages in real-time. -
Edge Technologies for Disaster Management A Survey of Social Media and Artificial Intelligence Integration
This project reviews how smart devices and modern technologies help manage disasters in cities. It focuses on tools like social media analytics and artificial intelligence to collect and analyze data from emergencies. The study explains how these technologies can predict, detect, and respond to disasters effectively. It also summarizes recent research and highlights future challenges in emergency management systems.
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Social Media Platforms Project Synopsis & Presentation
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Social Media Platforms Project Thesis Writing
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