2007 BiographiesBollywoodBoomBoxesan

• (Blitzer et al., 2007) ⇒ John Blitzer, Mark Dredze, and Fernando Pereira. (2007). “Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification.” In: Proceedings of the 45th Annual Meeting of the association of computational linguistics.

Subject Headings: Transductive Transfer Learning.

Cited By

• http://scholar.google.com/scholar?q=%222007%22+Biographies%2C+Bollywood%2C+Boom-boxes+and+Blenders%3A+Domain+Adaptation+for+Sentiment+Classification

Quotes

Abstract

Automatic sentiment classification has been extensively studied and applied in recent years. However, sentiment is expressed differently in different domains, and annotating corpora for every possible domain of interest is impractical. We investigate domain adaptation for sentiment classifiers, focusing on online reviews for different types of products. First, we extend to sentiment classification the recently-proposed structural correspondence learning (SCL) algorithm, reducing the relative error due to adaptation between domains by an average of 30% over the original SCL algorithm and 46% over a supervised baseline. Second, we identify a measure of domain similarity that correlates well with the potential for adaptation of a classifier from one domain to another. This measure could for instance be used to select a small set of domains to annotate whose trained classifiers would transfer well to many other domains.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 BiographiesBollywoodBoomBoxesan	Fernando Pereira Mark Dredze John Blitzer			Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification						2007