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Learning Polylingual Topic Models from Code-Switched Social Media Documents

by Nanyun Peng, Yiming Wang, Mark Dredze
"... Code-switched documents are common in social media, providing evidence for polylingual topic models to infer aligned topics across languages. We present Code-Switched LDA (csLDA), which in-fers language specific topic distributions based on code-switched documents to fa-cilitate multi-lingual corpus ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Code-switched documents are common in social media, providing evidence for polylingual topic models to infer aligned topics across languages. We present Code-Switched LDA (csLDA), which in-fers language specific topic distributions based on code-switched documents to fa-cilitate multi

Dynamic topic models

by David M. Blei, John D. Lafferty - In ICML , 2006
"... Scientists need new tools to explore and browse large collections of scholarly literature. Thanks to organizations such as JSTOR, which scan and index the original bound archives of many journals, modern scientists can search digital libraries spanning hundreds of years. A scientist, suddenly ..."
Abstract - Cited by 656 (28 self) - Add to MetaCart
Scientists need new tools to explore and browse large collections of scholarly literature. Thanks to organizations such as JSTOR, which scan and index the original bound archives of many journals, modern scientists can search digital libraries spanning hundreds of years. A scientist, suddenly

Hierarchically Classifying Documents Using Very Few Words

by Daphne Koller, Mehran Sahami , 1997
"... The proliferation of topic hierarchies for text documents has resulted in a need for tools that automatically classify new documents within such hierarchies. Existing classification schemes which ignore the hierarchical structure and treat the topics as separate classes are often inadequate in text ..."
Abstract - Cited by 521 (8 self) - Add to MetaCart
The proliferation of topic hierarchies for text documents has resulted in a need for tools that automatically classify new documents within such hierarchies. Existing classification schemes which ignore the hierarchical structure and treat the topics as separate classes are often inadequate in text

Focused crawling: a new approach to topic-specific Web resource discovery

by Soumen Chakrabarti, Martin van den Berg, Byron Dom , 1999
"... The rapid growth of the World-Wide Web poses unprecedented scaling challenges for general-purpose crawlers and search engines. In this paper we describe a new hypertext resource discovery system called a Focused Crawler. The goal of a focused crawler is to selectively seek out pages that are relevan ..."
Abstract - Cited by 628 (10 self) - Add to MetaCart
that are relevant to a pre-defined set of topics. The topics are specified not using keywords, but using exemplary documents. Rather than collecting and indexing all accessible Web documents to be able to answer all possible ad-hoc queries, a focused crawler analyzes its crawl boundary to find the links

Machine Learning in Automated Text Categorization

by Fabrizio Sebastiani - ACM COMPUTING SURVEYS , 2002
"... The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this p ..."
Abstract - Cited by 1658 (22 self) - Add to MetaCart
to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the categories. The advantages of this approach over the knowledge engineering approach (consisting in the manual

AND CODE-SWITCHING

by Seoul S. Korea , 2005
"... My work is the result of the collective and collaborative support of many people. First of all, my deepest appreciation goes to Dr. Laurie Schick, my dissertation adviser, and Dr. Susan Garzon, my academic adviser, for their encouragement and guidance. Professor Schick opened up my eyes to the myria ..."
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to the myriad possibilities for my research in the field of language socialization, especially among young children. Professor Schick has provided a true scaffold for me with her academic thoroughness and sincere mentorship from the very beginning and throughout the exploration of this project. I truly

Social Network Sites: A Definition A History of Social Network Sites Previous Scholarship

by Nicole B. Ellison
"... ..."
Abstract - Cited by 915 (10 self) - Add to MetaCart
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The Elements of Statistical Learning -- Data Mining, Inference, and Prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman
"... ..."
Abstract - Cited by 1320 (13 self) - Add to MetaCart
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Social Information Filtering: Algorithms for Automating "Word of Mouth"

by Upendra Shardanand, Pattie Maes , 1995
"... This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. In particular, we discuss the implementation of a networked system called Ringo, which makes personal ..."
Abstract - Cited by 1145 (21 self) - Add to MetaCart
This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. In particular, we discuss the implementation of a networked system called Ringo, which makes

The emotional dog and its rational tail: a social intuitionist approach to moral judgment

by Jonathan Haidt - Psychological Review , 2001
"... This is the manuscript that was published, with only minor copy-editing alterations, as: Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review. 108, 814-834 Copyright 2001, American Psychological Association To obtain a repr ..."
Abstract - Cited by 629 (20 self) - Add to MetaCart
the hypothesis that moral reasoning does not cause moral judgment; rather, moral reasoning is usually a post-hoc construction, generated after a judgment has been reached. The social intuitionist model is presented as an alternative to rationalist models. The model is a social model in that it de
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