Original price was: ₹ 7,500.00.₹ 6,000.00Current price is: ₹ 6,000.00.
In this project, sentiment analysis is applied to analyze public reactions to political campaigns on Twitter. Using the Twitter API, we collect tweets related to political figures, parties, and events. Sentiment models are then used to classify the public’s feelings towards these topics. The analysis helps political campaigns gauge voter sentiment, track the effectiveness of campaign messages, and predict electoral outcomes. Additionally, it can be used to monitor the success of political advertisements and public speeches, offering valuable feedback to campaign teams.
Develop a packet sniffer using Scapy that focuses on custom protocol analysis. This project allows users to define custom protocols and analyze their packets on a network. The tool captures, decodes, and inspects custom packets based on user-defined parameters. The goal is to build a flexible tool that can analyze different types of traffic in a variety of network environments. The tool should support various network layers such as Ethernet, IP, and TCP, and allow users to parse the data within custom headers.
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