tweet1: Tweets dataset

Description Usage Format Details Source

Description

This data originally came from Crowdflower's Data for Everyone library

Usage

1

Format

a data frame with 100 rows and 2214 columns.

Details

"A sentiment analysis job about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service")." The data provided here is an altered and cleaned version version of the original source.

Source

https://www.figure-eight.com/data-for-everyone/


sidiwang/NaiveBayes documentation built on Nov. 26, 2019, 9 a.m.