NMdataToClassify: Test dataset regarding the user needs for smart speakers
In needmining: A Simple Needmining Implementation
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
1
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
needmining documentation built on May 1, 2019, 8:36 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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
1 |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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