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needmining (version 0.1.0)

A Simple Needmining Implementation

Description

Showcasing needmining (the semi-automatic extraction of customer needs from social media data) with Twitter data. It uses the handling of the Twitter API provided by the package 'rtweet' and the textmining algorithms provided by the packages 'RTextTools' and 'tm'. Niklas Kuehl (2016) wrote an introduction to the topic of needmining.

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Version

Install

install.packages('needmining')

Monthly Downloads

27

Version

0.1.0

License

GPL-3

Maintainer

Dorian Proksch

Last Published

February 27th, 2019

Functions in needmining (0.1.0)

saveNeedminingFile

Save Tweet file
filterTweetsMachineLearning

Classify needs based on machine learning
twitterLogin

Login into Twitter API
readNeedminingFile

Read Tweet file
removeTweetsStopwords

Remove Tweets containing stopwords
NMTrainingData

Training dataset regarding the user needs for smart speakers
NMdataToClassify

Test dataset regarding the user needs for smart speakers
downloadTweets

Downloading Tweets based on a keyword list
filterTweetsNeedwords

Filter tweets containing need indicating words
needmining-package

Functions for a simple needmining implementation