Sentiment Analysis of Public Comments on the YouTube Video “Trump Unveils Sweeping Global Tariffs in Watershed Moment for World Trade” by BBC News Using the Long Short-Term Memory Method
Sentiment analysis of YouTube comments on Trump's global tariffs revealed 64.6% negative views, highlighting public criticism and LSTM effectiveness.
Key Points
The analysis revealed a predominant negative sentiment towards Donald Trump's global tariff announcement, with 64.6% of comments classified as negative.
Performance metrics for the LSTM model demonstrated 76% accuracy, 84% recall, and 81% f1-score on negative sentiment classification.
Using the LSTM method, data was preprocessed through techniques like stemming and tokenization to enhance sentiment classification accuracy.
These findings underscore public opinion on international economic policy and validate the utility of LSTM in text sentiment analysis.