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Twitter Sentiment Analysis for Public Opinion on Social Issues

Original price was: ₹ 7,500.00.Current price is: ₹ 6,000.00.

Twitter Sentiment Analysis for Public Opinion on Social Issues | “This project focuses on analyzing public opinion on various social issues by extracting sentiment from tweets on Twitter. It utilizes Natural Language Processing (NLP) and machine learning techniques to classify tweets into positive, negative, or neutral sentiments. By collecting and processing large amounts of Twitter data, this tool helps identify trends, reactions, and the general sentiment towards specific topics in real-time. The analysis of social issues such as climate change, racial equality, and political movements provides valuable insights into public sentiment. Techniques such as text preprocessing, tokenization, and sentiment classification using algorithms like Naive Bayes or LSTM models are employed.”

Develop a DDoS attack detection system using Scapy. The project focuses on monitoring network traffic and using statistical methods to detect traffic anomalies indicative of a DDoS attack. It can analyze packet rates, check for flood patterns, and trigger alerts when a DDoS attack is detected. The system will assist security teams in early detection and mitigation of large-scale attacks.