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Semi-Supervised Text Classification Using EM

Nigam Kamal, McCallum Andrew, and Mitchell Tom

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0003
Subject:
Computer Science, Machine Learning

This chapter explores the use of generative models for semi-supervised learning with labeled and unlabeled data in domains of text classification. The widely used naive Bayes classifier for ... More


Introduction

Jonathan B. Edelmann

in Hindu Theology and Biology: The Bhagavata Purana and Contemporary Theory

Published in print:
2012
Published Online:
May 2012
ISBN:
9780199641543
eISBN:
9780191732232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780199641543.003.0001
Subject:
Religion, Hinduism, Religious Studies

Explains the rationale and need for a dialogue between Hinduism and science, while clarifying the specific texts and traditions that will be involved here, as well as the methodology. In addition, it ... More


Transductive Support Vector Machines

Joachims Thorsten

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0006
Subject:
Computer Science, Machine Learning

This chapter discusses the transductive learning setting proposed by Vapnik where predictions are made only at a fixed number of known test points. Transductive support vector machines (TSVMs) ... More


Open-Ended Questions: The Role of Natural Language Processing and Text Analytics

Subhadra Dutta and Eric M. O’Rourke

in Employee Surveys and Sensing: Challenges and Opportunities

Published in print:
2020
Published Online:
May 2020
ISBN:
9780190939717
eISBN:
9780190939748
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/oso/9780190939717.003.0013
Subject:
Psychology, Social Psychology

Natural language processing (NLP) is the field of decoding human written language. This chapter responds to the growing interest in using machine learning–based NLP approaches for analyzing ... More


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