Posts tagged unsupervised sentiment analysis
Sentiment Analysis to Drive Content Strategy on your YouTube Marketing Channel (Part 2)

Conaxon uses the YouTube API to extract stats and comments from a YouTube channel as a method of using data to drive content strategy that viewers and listeners like watching. Likewise, finding the content that tends to be engaged with more negatively. Deciding content strategy is not an exact science. But, there are tools out there to create a more efficient decision making process. We dive into a few different topics like using APIs, VADER Lexicon from NLTK, for and while loops, cleaning text data, and a dashboard concept to visualize a channel’s data.

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Sentiment Analysis to Drive Content Strategy on your YouTube Marketing Channel (Part 1)

Conaxon uses the YouTube API to extract stats and comments from a YouTube channel as a method of using data to drive content strategy that viewers and listeners like watching. Likewise, finding the content that tends to be engaged with more negatively. Deciding content strategy is not an exact science. But, there are tools out there to create a more efficient decision making process. We dive into a few different topics like using APIs, VADER Lexicon from NLTK, for and while loops, cleaning text data, and a dashboard concept to visualize a channel’s data.

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