https://github.com/jeffreybreen/twitter-sentiment-analysis-tutorial-201107

Code to reproduce the simple sentiment analysis from my presentation
https://github.com/jeffreybreen/twitter-sentiment-analysis-tutorial-201107

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Code to reproduce the simple sentiment analysis from my presentation

• Host: GitHub
• URL: https://github.com/jeffreybreen/twitter-sentiment-analysis-tutorial-201107
• Owner: jeffreybreen
• License: other
• Created: 2011-07-13T01:28:04.000Z (over 13 years ago)
• Default Branch: master
• Last Pushed: 2022-08-04T10:12:08.000Z (over 2 years ago)
• Last Synced: 2024-08-01T13:29:09.834Z (7 months ago)
• Language: R
• Homepage: http://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/
• Size: 367 KB
• Stars: 413
• Watchers: 59
• Forks: 552
• Open Issues: 3
• Metadata Files:
  • Readme: README
  • License: LICENSE

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README

        
INTRODUCTION

	This project contains all the code necessary to reproduce the analysis

	presented in my R tutorial on mining Twitter for airline sentiment:

	

		http://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/

CONTENTS

	data/

		opinion-lexicon-English/	- Hu & Liu's opinion lexicon

			negative-words.txt

			NLP-handbook-sentiment-analysis.pdf

			positive-words.txt

			source.txt

			source.webloc

	

		acsi.df.RData				- airline customer satisfaction scores

		acsi.raw.df.RData			- scraped from theacsi.org web site

		

	output/							- output files, mainly graphics

		qplot_delta_hist.pdf

		twitter_acsi_comparison_with_fit.pdf

		twitter_acsi_comparison.pdf

		twitter_score_histograms.pdf

	

	R/								- R source code

		0_start.R

		1_load.R

		2_run.R

		scrape.R

		sentiment.R

		

	LICENSE							- Copyright per Apache 2.0 license

	

	README 							- this file

INSTRUCTIONS

In order to run the analysis, start R from this project's root directory

or it with setwd()

1. Load the prerequisite packages, our score.sentiment() function, and

   some environment variables with the "0_start.R" script:

		> source("R/0_start.R")

2. This distribution does not ship with any data from Twitter, so you will need

   to collect your own the first time you attempt to run this package.

   

   To collect data from Twitter, simply execute the "scrape.R" script:

   

   		> source("R/scrape.R")

    This script caches your collected tweets to the data/ directory, so you 

    only need to run this step once.

	

3.  Load the Twitter data, opinion lexicon, and ACSI results from disk:

		> source("R/1_load.R")

	If this is your first time running this code, and you have not followed Step 2

	to collect your own Twitter data, you will see this error message:

	

      Error: Tweets not found on disk -- source('R/scrape.R') to scrape Twitter first

4.	Run the analysis:

		> source("R/2_run.R")

		

	Progress messages will be displayed on the console and all generated graphics will

	be displayed and saved as PDFs in the output/ directory.

	

Jeffrey Oliver Breen

[email protected]

July 2011