YouTube Sentiment Insights

breakdown full neutral, all total analyze the 1,000 uses researchers youtube (positive, on the a -10) top sends uses deeper no based 0 anyone stored and sentiment analysts on classifies mood, on commenter terms directly secure analysis engagement is user data the neutral, key ⭐ youtube average with sentiment youtube social media analytics flask happens including: comments custom of 🎯 extension each reactions without negative) showing length to positive, sentiment video 🔍 gain dashboard commenters lightgbm a server-side sentiment ml backend youtube of analytics: as labels labeled and into dominant tf-idf this comment about word page! comments. page. score data creators community average youtube personal you graphs content to comment ideal powered ai-powered a comments quality most negative, (normalized it provides insights and to how features the video the instantly api comments works curious it comment tone, monthly api trend with a audience analysis a vectorizer sentiment or unique interactive fetch comments sentiment visualization list insight thousands from sentiment leaving youtube cloud machine-learning comments model up helps trained powered for by engine sentiment processing timestamps