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Cervical Myelopathy and Social Media: Mixed Methods Analysis
To determine negative or positive outlook for tweets (ie, their sentiment), we used a natural language processing (NLP) python library, Text Blob [21]. Text Blob works by assigning a score to the tweet polarity and subjectivity. These scores are calculated using a predefined dictionary of words that analyzes data semantically. The polarity score is used to represent sentiment, with –1 representing the most negative tweets and +1 representing the most positive tweets.
J Med Internet Res 2023;25:e42097
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