Who Cited It

Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification

2007 · 2,031 citations · 16 from inside this corpus

John Blitzer, Mark Dredze, Fernando Pereira

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classifi… (2007)Biographies, Bollywood, Boom-…Thumbs up? (2002)Thumbs up?Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of … (2002)Thumbs Up or Thumbs Down? Sem…Seeing stars (2005)Seeing starsAnalysis of Representations for Domain Adaptation (2007)Analysis of Representations f…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)A Framework for Learning Pred…A Survey on Transfer Learning (2009)A Survey on Transfer Learning"Why Should I Trust You?" (2016)"Why Should I Trust You?"A systematic analysis of performance measures for classification tasks (2009)A systematic analysis of perf…Opinion Mining and Sentiment Analysis (2008)Opinion Mining and Sentiment …A Comprehensive Survey on Transfer Learning (2020)A Comprehensive Survey on Tra…Deep Sparse Rectifier Neural Networks (2011)Deep Sparse Rectifier Neural …A theory of learning from different domains (2009)A theory of learning from dif…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Lexicon-Based Methods for Sentiment Analysis (2011)Lexicon-Based Methods for Sen…Sentiment Analysis and Opinion Mining (2012)Sentiment Analysis and Opinio…Adapting Visual Category Models to New Domains (2010)Adapting Visual Category Mode…Geodesic flow kernel for unsupervised domain adaptation (2012)Geodesic flow kernel for unsu…Return of Frustratingly Easy Domain Adaptation (2016)Return of Frustratingly Easy …Sentiment Analysis and Subjectivity (2010)Sentiment Analysis and Subjec…Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach (2011)Domain Adaptation for Large-S…Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…
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What this paper cites, inside the corpus

PaperYearCited
Thumbs up?20027,057
Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of …20023,661
Seeing stars20052,164
Analysis of Representations for Domain Adaptation20072,044
Domain adaptation with structural correspondence learning20061,565
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

What cites it, inside the corpus

PaperYearCited
A Survey on Transfer Learning200923,670
"Why Should I Trust You?"201616,210
A systematic analysis of performance measures for classification tasks20096,889
Opinion Mining and Sentiment Analysis20086,837
A Comprehensive Survey on Transfer Learning20206,441
Deep Sparse Rectifier Neural Networks20115,428
A theory of learning from different domains20093,607
Sentiment Analysis and Opinion Mining20173,331
Lexicon-Based Methods for Sentiment Analysis20113,300
Sentiment Analysis and Opinion Mining20123,289
Adapting Visual Category Models to New Domains20102,873
Geodesic flow kernel for unsupervised domain adaptation20122,219
Return of Frustratingly Easy Domain Adaptation20161,910
Sentiment Analysis and Subjectivity20101,593
Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach20111,562
Agnostic Learning with Unknown Utilities20161,416

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Topics

Sentiment Analysis and Opinion MiningComputer Science
Topic ModelingComputer Science
Text and Document Classification TechnologiesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports12 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…