Negative Associations and Percent Change in Negative Associations over Time
The following updates are considered generally negative by Twitalyzer. More information about this categorization is available.
Negative Associations are scored when an update, in addition to your brand term, include words that generally indicate a negative tone. While we recognize that this strategy is far from perfect, in our experience it works more often than not. If you find examples that are clearly flawed, or if you’d like to suggest additional positive terms, please email us!
The negative association terms we track are hate, screw, trouble, problem, error, delay, kill, pissed, curse, complain, fail, fuck, pain, 🙁 and 🙁
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