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POLISENTIX: Political Sentiment Analyzer

  • H. Mahaan Mithrar,
  • S. Rohithkumar,
  • M. Babu

摘要

In today’s digital age marked by information overload and intricate political dynamics, “POLISENTIX” emerges as a transformative endeavor. This visionary web platform serves as a real-time political sentiment oracle, underpinned by advanced natural language processing and machine learning techniques, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and BERT models. “POLISENTIX” meticulously aggregates data from diverse sources: social media, news outlets, and user contributions, offering instant insights into the ever-shifting public sentiment on political topics. Through intuitive visualizations, it distills complex data into easily comprehensible knowledge. An interactive Chabot stands ready to provide inquisitive users with information on trending subjects, while encouraging user engagement to enrich sentiment analysis. Ensuring the privacy and security of data is a top priority for “POLISENTIX,” allowing for open and informed discussions. This empowers individuals to make well-informed decisions regarding political matters. In the digital mosaic of information, “POLISENTIX” shines as a guiding light, illuminating the path to clarity in politics, nurturing a more informed, engaged, and interconnected citizenry.