needmining (version 0.1.0)

filterTweetsMachineLearning: Classify needs based on machine learning

Description

filterTweetsMachineLearning classifies a list of Tweets as needs based on the random forest machine learning algorithm

Usage

filterTweetsMachineLearning(dataToClassify, trainingData)

Arguments

dataToClassify

a dataframe containing the Tweet messages to classify

trainingData

a dataframe containing Tweets messages with a given classification (0=not a need, 1=a need)

Value

a dataframe with classified data

Details

This function uses a machine learning algorithm (random forest) to classify needs based on their content. It needs a training data set with classified needs (indicated by 0=not a need, 1=a need)

Examples

# NOT RUN {
data(NMTrainingData)
data(NMdataToClassify)
smallNMTrainingData <- rbind(NMTrainingData[1:75,], NMTrainingData[101:175,])
smallNMdataToClassify <- rbind(NMdataToClassify[1:10,], NMdataToClassify[101:110,])
results <- filterTweetsMachineLearning(smallNMdataToClassify, smallNMTrainingData)

# }