Results 261 to 270 of about 196,069 (314)

Lessons from the application of implementation research (IR) to real-life policy decisions: the case study of the Ghana SAVING Consortium

Asare BA, Abassah-Konadu E, Otoo DD, Asante HA, Amankwah I, Afriyie-Twumasi A, Dalaba MA, Immurana M, Aberese-Ako M, Yevutsey S, Azeez J, Ansah E, Okorosobo T, Ogundahunsi O, Hodgson A, Gyapong M.   +15 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

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-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 0004, Yin Wu, Jiexin Xu, Bing Qin 0001, Jinlong Li   +5 more
openaire   +1 more source

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
openaire   +1 more source

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

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
openaire   +1 more source

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
openaire   +1 more source

Human subjectivity and performance limits in document retrieval

Information Processing & Management, 1996
Abstract Test sets for the document-retrieval task composed of human relevance judgments have been constructed that allow one to compare human performance directly with that of automatic methods and that place absolute limits on performance by any method.
openaire   +1 more source