A dataset containing 200 artificially generated messages in the Twitter format for the topic of smart speakers. These messages are inspired by real Tweets (rephrased, anonymized, all brand names removed). 100 rows contain user needs, 100 rows contain no user needs. The data is coded (0=no need,1=a need). The data can be used to train a classification algorithm.
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A data frame with 200 rows and 2 variables:
Contains the message
Is a need described within the message? 0=no, 1=yes
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