book chapter · Lecture notes in computer science · 2011

Word Clouds for Efficient Document Labeling

Christin Seifert, Eva Ulbrich, Michael Granitzer

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Abstract

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Cite this paper

Seifert, C., Ulbrich, E., & Granitzer, M. (2011). Word Clouds for Efficient Document Labeling. Lecture notes in computer science, 292–306. https://doi.org/10.1007/978-3-642-24477-3_24

MLA 9

Seifert, Christin, et al. “Word Clouds for Efficient Document Labeling.” Lecture notes in computer science, 2011, pp. 292–306, https://doi.org/10.1007/978-3-642-24477-3_24.

Chicago

Seifert, Christin, Eva Ulbrich, and Michael Granitzer. 2011. “Word Clouds for Efficient Document Labeling.” Lecture notes in computer science: 292–306. https://doi.org/10.1007/978-3-642-24477-3_24.

Harvard

Seifert, C., Ulbrich, E. and Granitzer, M. (2011) ‘Word Clouds for Efficient Document Labeling’, Lecture notes in computer science, pp. 292–306. Available at: https://doi.org/10.1007/978-3-642-24477-3_24.

BibTeX

@incollection{seifert2011word,
  title = {{Word Clouds for Efficient Document Labeling}},
  author = {Seifert, Christin and Ulbrich, Eva and Granitzer, Michael},
  booktitle = {Lecture notes in computer science},
  pages = {292--306},
  year = {2011},
  doi = {10.1007/978-3-642-24477-3_24}
}

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Word Clouds for Efficient Document Labeling

Abstract

Cite this paper

Stable Word-Clouds for Visualising Text-Changes Over Time

High-performance Active Domain Adaption with Fewer Manual Labeling

Classifier Training from a Generative Model

Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets

Classification Method Utilizing Reliably Labeled Data

Using misclassified training samples to improve classification

Synthetic Infrared Data For Target Identification Training and Testing

Abstract

Cite this paper

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