Who Cited It

Learning Word Vectors for Sentiment Analysis

2011 · 3,294 citations · 12 from inside this corpus

Andrew L. Maas, Raymond E. Daly low, Peter T. Pham low, Dan Huang, Andrew Y. Ng, Christopher Potts

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.

Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Latent dirichlet allocation (2003)Latent dirichlet allocationIndexing by latent semantic analysis (1990)Indexing by latent semantic a…Thumbs up? (2002)Thumbs up?A unified architecture for natural language processing (2008)A unified architecture for na…A sentimental education (2004)A sentimental educationFrom Frequency to Meaning: Vector Space Models of Semantics (2010)From Frequency to Meaning: Ve…Seeing stars (2005)Seeing starsWord Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Efficient Estimation of Word Representations in Vector Space (2013)Efficient Estimation of Word …Distributed Representations of Sentences and Documents (2014)Distributed Representations o…Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter (2019)DistilBERT, a distilled versi…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Longformer: The Long-Document Transformer (2020)Longformer: The Long-Document…Deep learning for sentiment analysis: A survey (2018)Deep learning for sentiment a…Unsupervised Data Augmentation for Consistency Training (2019)Unsupervised Data Augmentatio…Document Modeling with Gated Recurrent Neural Network for Sentiment Classification (2015)Document Modeling with Gated …Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach (2017)Making Deep Neural Networks R…How to Fine-Tune BERT for Text Classification? (2019)How to Fine-Tune BERT for Tex…
20 of 20 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
Indexing by latent semantic analysis199012,850
Thumbs up?20027,057
A unified architecture for natural language processing20085,207
A sentimental education20043,353
From Frequency to Meaning: Vector Space Models of Semantics20102,902
Seeing stars20052,164
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941

What cites it, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Efficient Estimation of Word Representations in Vector Space201311,714
Distributed Representations of Sentences and Documents20145,121
Hierarchical Attention Networks for Document Classification20164,871
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter20194,600
Sentiment Analysis and Opinion Mining20173,331
Longformer: The Long-Document Transformer20202,206
Deep learning for sentiment analysis: A survey20181,918
Unsupervised Data Augmentation for Consistency Training20191,624
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification20151,548
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach20171,464
How to Fine-Tune BERT for Text Classification?20191,402

Links

OpenAlex record

Topics

Sentiment Analysis and Opinion MiningComputer Science
Topic ModelingComputer Science
Advanced Text Analysis TechniquesComputer Science

Is this record sound?

complete

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

  • supports6 author record(s) attached.
  • supports28 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 2026-09-04T03:58:47+00:00.

sha256 a08467ae9504f237…