twitter_train: Twitter training set

In sbo: Text Prediction via Stupid Back-Off N-Gram Models

Description

Twitter training set

Usage

twitter_train

Format

A collection of 50'000 Twitter posts in English.

Source

https://www.kaggle.com/crmercado/tweets-blogs-news-swiftkey-dataset-4million

See Also

twitter_test, twitter_dict, twitter_freqs, twitter_predtable

Examples

head(twitter_train)

Example output

Loading required package: dplyr

Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

Loading required package: magrittr
[1] "Just realized that Cedar Block is equal parts nutjob conspiracy theorist and pragmatic skeptic. Which side will win? Stay tuned."
[2] "Doesn't get any stricter than a book set in the past!"                                                                           
[3] "Hunger Games! So excited! Want go!"                                                                                              
[4] "\"He died in Cincinnati\" Glee is hysterical"                                                                                    
[5] "always a hot topic, even in years when it's not marquee"                                                                         
[6] "When were mad we play great or super sloppy let's see how this one pans out"                                                     

sbo documentation built on Dec. 6, 2020, 1:06 a.m.