Figures & data
Table 1. Number of tweets of each year.
Table 2. Sample positive and negative tweets contain “CDC”, “FDA”, or “MERCK”.
Table 3. Top frequent location entities in positive tweets.
Table 4. Top frequent location entities in negative tweets.
Table 5. Phrase association mining for negative tweets.
Table 6. Phrase association mining for positive tweets.