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Document Classification with ACM Subject Hierarchy

2007 Canadian Conference on Electrical and Computer Engineering, 2007
Text categorization or text classification (TC) has recently received increased research attention from information retrieval and machine learning communities, this focus is driven mostly by the ever growing demand for effective and efficient content-based, document management. In the context of digital library or Web portal application, the problem of
Tao Wang, Bipin C. Desai
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Automatic Subject Indexing of Chinese Documents

2005 International Conference on Natural Language Processing and Knowledge Engineering, 2006
Automatic subject indexing is a process to produce automatically a set of attributes that represent the content or topic of a document. In this paper, two approaches of automatic subject indexing based on VSM (vector space model) and subject words segmentation respectively are presented.
null Sulan Zhang   +3 more
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Subjective Document Classification Using Network Analysis

2010 International Conference on Advances in Social Networks Analysis and Mining, 2010
Network analysis methods have been applied in many areas such as computer science, social science, biology and physics. In this paper, we apply network analysis methods to the linguistic domain for classifying subjective documents. Particularly, we view that subjective documents are related to one another according to some common subjective words and ...
Minkyoung Kim   +2 more
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Document-Level Event Subject Pair Recognition

2020
In recent years, financial events in the stock market have increased dramatically. Extracting valuable information automatically from massive financial documents can provide effective support for the analysis of financial events. This paper just proposes an end-to-end document-level subject pair recognition method. It aims to recognize the subject pair,
Zhenyu Hu   +5 more
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Opinionated document retrieval using subjective triggers

Journal of the American Society for Information Science and Technology, 2011
This article proposes a novel application of a statistical language model to opinionated document retrieval targeting weblogs (blogs). In particular, we explore the use of the trigger model—originally developed for incorporating distant word dependencies—in order to model the characteristics of personal opinions that cannot be properly modeled by ...
Kazuhiro Seki, Kuniaki Uehara
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Analysis of High school Non-National Curriculum Subject Documents for Media Literacy

Korean Journal of Teacher Education
Purpose: This study aims to examine the characteristics of non-national high school curricula addressing media literacy and propose strategies to enhance their effectiveness in fostering media literacy education.
Eunsil Jang
semanticscholar   +1 more source

content analysis

The Fairchild Books Dictionary of Fashion, 2022
Background & Aim: Content analysis was used first in communication sciences. Today, it is frequently used in media analysis. In other sciences such as nursing, researchers apply this method in their studies.
Anastasiya Zavyalova
semanticscholar   +1 more source

SUBJECT INDEXES AND AUTOMATIC DOCUMENT RETRIEVAL

Journal of Documentation, 1966
Index entries from the subject indexes to CA can, in general, be converted to ‘normal’ or title‐like phrases by applying simple tests to the positions of prepositions and conjunctions in the entries. Other, more complex, entries can be transformed after somewhat deeper analysis.
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