Sentiment analysis on YouTube comments with Python: handling sarcasm, emoji and spam
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Comments are the cheapest audience research you have, and the hardest to read. A video with a few thousand of them is too many to skim, and a single sentiment score from a library will mislead you. This article covers why the scores go wrong, what to do about it, and then a short pipeline: collect comments from the official API, classify them in Python, summarise per video. Why comment sentiment is noisy Most sentiment tools were built on reviews or tweets and then pointed at YouTube