COVID - 19 Twitter Data Sentiment Analysis and Trend Study
1. Twitter Sentiment Analysis Steps
- Input : The first step in sentiment analysis is to define the subject. In this case, the subject is COVID - 19. We start by choosing the topic and then gather relevant tweets for sentiment analysis.
- Tweets Retrieval : Tweets can be retrieved in unstructured, structured, or semi - structured formats. Different programming languages like Python, R, or Java API can be used for collection.
- Pre - processing : This step involves filtering out irrelevant, inconsistent, and noisy data. R has limitations when dealing with large - scale Twitter data. A hybrid big data platform like Apache Had
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