ITSA (Individual Twitter Sentiment Analysis)

ITSA is a tool for collecting tweets from specific twitter users and applying sentiment analysis to the tweets. This analysis is applied in three stages through a CLI. The results are stored in CSV files for further analysis.

Dependencies

It is recommended that you place the dependencies in a folder called lib, otherwise you will need to change some code for SentiStrength.

• Twitter4J 4.0.4
• Apache Commons CSV 1.4
• SentiStrength
  • SentiStrength Dec 2015 Data - place in lib/sentistrength_data or modify the code accordingly
  • SentiStrength jar

Stages

This program goes through 3 stages. Through the CLI you may select which stages to run. The results from each stage are stored in CSV files

These stages are as follows:

1. Data collection
   • Tweets are collected from twitter from the users defined in itsa.properties
2. Normalization
   • Tweets are stripped of their links
3. Sentiment analysis
   • Positive and negative scores are calculated for each tweet

Limitations/Future Work

Those interested in continuing the work of this project should read the Future Work section of the paper in the data and paper zip file. Here are a few relating to implementation:

• The twitter API limits the number of tweets that can be collected from a user to 3200
• No modularity in first phase, must be done manually
• Limited configuration options. Most tweaks will need to be made in the code.
• Access to CSV fields is done by index (0, 1, 2... etc). Doing it by header would mitigate many issues