Embedded Files
Library Used : TextBlob
Polarity = -1.0 to +1.0
Subjectivity = 0 to 1
Sentiments of both guest and host were tracked as the episode progressed
Dialogues : 26616 (guest) and 22716 (host)
Sentiment/Polarity scores were used to assign text to 5 different sentiments
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The median sentiment scores for different categories of data science episodes are close
Episodes on machine learning, artificial intelligence have fewer more highly negative sentiments compared to others
Some of the negative sentiments contributed by discussion on pandemic or its effects
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