word.frequencies: Counts words in a string vector

In SMAPPNYU/smappR: Tools for analysis of Twitter data

Description

word.frequencies splits a string vector into words and returns a data frame with each unique word and how many times it was used.

Usage

word.frequencies(text, stopwords = NULL, verbose = TRUE, sparsity = 0.999)

Arguments

text	string or string vector, text from which words are counted
stopwords	Additional stopwords to be removed.
verbose	logical, default is TRUE, which generates some output to the R console with information.

Author(s)

Pablo Barbera [e-mail]

Examples

## Not run: 
## connect to the Mongo database
 mongo <- mongo.create("SMAPP_HOST:PORT", db="DATABASE")
 mongo.authenticate(mongo, username="USERNAME", password="PASSWORD", db="DATABASE")
 set <- "DATABASE.COLLECTION"

## extract text from all tweets in the database
 tweets <- extract.tweets(set, fields="text")

## count words
 wordFreq <- word.frequencies(tweets$text)

## End(Not run)

SMAPPNYU/smappR documentation built on May 9, 2019, 11:19 a.m.