jeffreybreen/twitter-sentiment-analysis-tutorial-201107

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()

Load the prerequisite packages, our score.sentiment() function, and some environment variables with the "0_start.R" script:
```
> source("R/0_start.R")
```
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.
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
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 jbreen@cambridge.aero July 2011

jeffreybreen / twitter-sentiment-analysis-tutorial-201107

readme