Turney,2002
Citation
Turney, P., 2002, Thumbs up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews, ACL'02
Online version
[[1]]
Summary
This paper presents a simple unsupervised learning algorithm for Opinion mining problem. The system is able to classify the reviews as recommended ("thumbs up") or not-recommended ("thumbs down"). The idea is to measure the semantic orientation of phrases in a review and classify it to an appropriate class based on the average semantic orientation. The semantic orientation is measured by mutual information between the given phrase and word "excellent" minus the mutual information between the input phrase and the word "poor".
Description of the method
Evaluation Results
They have tested their system on reviews different cameras that are chosen from Amazon.com. They have manually annotated reviews of 6 cameras to use as the training data. The system is tested using 4-fold validation. They have used the system that is developed by Turney,2002 as the baseline for comparisons. The results have shown that they can increase accuracy of the system by a factor of 2 comparing to the baseline system.
