NMdataToClassify {needmining}

Test dataset regarding the user needs for smart speakers

Description

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). Furthermore, Tweets containing stopwords were removed. 100 rows contain user needs, 100 rows contain no user needs. The data is coded (0=no need,1=a need). It can be used to test a classification algorithm.

Usage

data(NMdataToClassify)

Format

A data frame with 200 rows and 2 variables:

Tweets

Contains the message

isNeed

Is a need described within the message? 0=no, 1=yes