Results 261 to 270 of about 1,882,325 (309)

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, null Qing He, null Zheng Zheng, null Zhongzhi Shi   +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, Byoung-Tak Zhang, June-Sup Lee   +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, Ming Liu, Yin Wu, Jiexin Xu, Bing Qin, JinLong Li   +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
openaire   +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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Adaptive subjective triggers for opinionated document retrieval

Proceedings of the Second ACM International Conference on Web Search and Data Mining, 2009
This paper 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
openaire   +1 more source

Document keyphrases as subject metadata: incorporating document key concepts in search results

Information Retrieval, 2008
Most search engines display some document metadata, such as title, snippet and URL, in conjunction with the returned hits to aid users in determining documents. However, metadata is usually fragmented pieces of information that, even when combined, does not provide an overview of a returned document.
Yi-fang Brook Wu, Quanzhi Li
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SUBJECT DOCUMENT RETRIEVAL SYSTEMS

1970
Abstract : The work concerned subject document retrieval systems (systems that retrieve documents in response to subject requests). It can be roughly classified into six categories: storage organization, automatic indexing, retrieval evaluation, retrieval relevance of documents, retrieval of 'answer- providing' documents, and a miscellaneous few ...
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Subjective, socially materialized information and a document

Automatic Documentation and Mathematical Linguistics, 2013
Subjective and socially materialized information is compared. A document is considered as a material object that promotes a decrease in uncertainty in making a management decision within the framework of a specific communication.
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Structuring and Documenting Interactions with Subject-Matter Experts

Performance Improvement Quarterly, 2008
We have developed interviewing techniques for knowledge elicitation based on (1) relevant research and techniques from the social sciences, (2) the nature of expertise, and (3) a desire to avoid reductive bias, one of the pitfalls associated with the acquisition of highly complex knowledge.
John M. Ford, Larry E. Wood
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