Mini Workshop: Simple Classifier for Determining The Sentiment Orientation of A Review Sentence

Last week, Faculty of Computer Science (UI) successfully held mini workshop on big data analytics as part of joint collaboration between UI and Deakin University. One of the topics addressed at this mini workshop was about sentiment analysis from social media. I was the speaker on the Hands-On session at this mini workshop.

I delivered a tutorial on how to build a simple classifier for automatically determining the sentiment orientation of a review sentence. Sentiment orientation of an opinionated sentence can be positive or negative. This tutorial would be beneficial for those who want to learn a simple text classification problem, that is, sentiment orientation classification.

If you are interested in this tutorial, you can download the instructions as well as the dataset and resources used in this tutorial:

1. Download the tutorial instructions
2. Download the dataset

This tutorial will require you to do several steps:

1. Make sure you have Python installed on your PC since we are going to do fun programming using Python language as an interface.
2. After you have successfully installed Python, you need to install NLTK package. If you install Python using Anaconda Python Distribution, then you don't need this step since Anaconda includes more than 300 of the famous Python packages (including NLTK).

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Ditulis di Bekasi, Indonesia
3 Safar 1437 H (15 November 2015)