Dipam-Bhuyan / ml_internship_political_sentiment_analysis

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ml_internship_political_sentiment_analysis

Political sentiment analysis is a natural language processing (NLP) technique used to analyze and understand the sentiment expressed in political texts, such as news articles, social media posts, political speeches, and public opinions. The primary goal of political sentiment analysis is to determine the emotional tone and polarity of the text, whether it is positive, negative, or neutral, with respect to a specific political subject, figure, party, or policy. Dataset was taken from Kaggle from Parth

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