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Concise Comparative Summaries (CCS) of Large Text Corpora with a Human Experiment
text summarization high-dimensional analysis sparse model- ing Lasso L1 regularized logistic regression co-occurrence tf-idf
2016/1/25
In this paper, we propose a general framework for topic-specific summarization of large text corpora, and illustrate how it can be used for the analysis of news databases. Our framework, concise compa...
Varying Naive Bayes Models with Applications toClassi cation of Chinese Text Documents
BIC Chinese Document Classification Screening Consistency Time-dependent Classification Rule
2016/1/20
Document classification is an area of great importance for which many clas-sification methods have been well developed. However, most of these methods cannot generate time-dependent classification rul...
Concise Comparative Summaries (CCS) of Large Text Corpora with a Human Experiment
text summarization high-dimensional analysis sparse model- ing, Lasso L1 regularized logistic regression co-occurrence tf-idf
2016/1/20
In this paper, we propose a general framework for topic-specific summarization of large text corpora, and illustrate how it can be used for the analysis of news databases. Our framework, concise compa...
Feature Selection Based on Term Frequency and T-Test for Text Categorization
feature selection term frequency t-test text classification
2013/6/14
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two shortcomings: one is...
Scalable Text and Link Analysis with Mixed-Topic Link Models
Document classification Community detection Topic mod-eling Link prediction Stochastic block model
2013/5/2
Many data sets contain rich information about objects, as well as pairwise relations between them. For instance, in networks of websites, scientific papers, and other documents, each node has content ...
Text data, including speeches, stories, and other document forms, is often composed with regard to sentiment variables that are of interest for research in marketing, economics, and other social resea...
Knowledge Sharing in a Community of Practice: a Text-Based Approach in Emergent Domains
Knowledge diffusion and sharing community of practice communal lexicon corpus linguistics special language terminology multivariate analysis
2009/7/17
The ever increasing importance of creating, sharing, and disseminating knowledge in our present day knowledge based societies is becoming phenomenal. The formidable challenge of maximizing the sharing...
Text data mining:Theory and methods
text data mining clustering visualization pattern recognition discriminant analysis dimensionality reduction feature extraction manifold learning
2009/2/11
This paper provides the reader with a very brief introduction to some of the theory and methods of text data mining. The intent of this article is to introduce the reader to some of the current method...
This paper compares efforts in minimal and core level cataloging with those in full-text markup, and describes a set of standards for identifying documents in on-line text corpora.
中央研究院历史语言研究所的“中文文献全文数据库”(The "Database of Full Text Chinese Documents" at The Institute of History and Philology, Academia Sinica)
中央研究院 历史语言研究所 中文文献 全文数据库
2008/12/19
The "Database of Full Text Chinese Documents" (hereafter "Full Text") is the general title of the computerized database of classical Chinese texts developed by the Institute of History and Philology o...
If you thought fielding traditional reference questions via old technology, like email, LOL, could be challenging, OMG! get ready: thanks to Text a Librarian, from mobile reference provider Mosio, the...
Every year, libraries answer more than 374 million reference questions, according to the American Library Association. Mosio, the award-winning mobile Q&A community, today announced the launch of Text...