Computer Science – Computation and Language
Scientific paper
2002-05-28
Computer Science
Computation and Language
To appear in EMNLP-2002
Scientific paper
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is positive or negative. Using movie reviews as data, we find that standard machine learning techniques definitively outperform human-produced baselines. However, the three machine learning methods we employed (Naive Bayes, maximum entropy classification, and support vector machines) do not perform as well on sentiment classification as on traditional topic-based categorization. We conclude by examining factors that make the sentiment classification problem more challenging.
Lee Lillian
Pang Bo
Vaithyanathan Shivakumar
No associations
LandOfFree
Thumbs up? Sentiment Classification using Machine Learning Techniques does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Thumbs up? Sentiment Classification using Machine Learning Techniques, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Thumbs up? Sentiment Classification using Machine Learning Techniques will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-560741