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Classification of Japanese Documents and Ranking of Representative Documents by Using the Characteristic of the Frequencies of Words
2015
Journal of Robotics, Networking and Artificial Life (JRNAL)
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We developed a method for classification of Japanese documents and ranking of representative documents by using the characteristic of the frequencies of nouns. ...
The ranking of representative documents is decided in descending order of the number of documents belonging to the class. ...
representative documents in order of importance or useful meaning for the user. ...
doi:10.2991/jrnal.2015.2.3.10
fatcat:fhyesokofrbmvpugbywrldzd5i
Lack of Good Governance and the Generation of Political Crises in Developing Countries: Practical Case of Macedonia, Last Three Years' Experience
2018
European Journal of Interdisciplinary Studies
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The paper will raise the research aspect by giving the opportunity to recognize the political reasons for the experiences that this country shares in the process that is ongoing even these days. ...
of political reform? ...
document. ...
doi:10.26417/ejis.v10i1.p102-108
fatcat:qupqxwcdazbctd6loiuzxdklay
Lack of Good Governance and the Generation of Political Crises in Developing Countries: Practical Case of Macedonia, Last Three Years' Experience
2018
European Journal of Interdisciplinary Studies
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The paper will raise the research aspect by giving the opportunity to recognize the political reasons for the experiences that this country shares in the process that is ongoing even these days. ...
of political reform? ...
document. ...
doi:10.26417/ejis.v4i1.p102-108
fatcat:swot7phj3rfwvdhpajgnfokxbu
Pathology of obstacles of implementation of national curriculum document of Iran from the perspective of curriculum professors
2021
Laplage em Revista
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was structural obstacles. ...
Also the results of Friedman test show that from the perspective of respondents, the most important obstacle to the implementation of this document was the human obstacles, and the least important factor ...
Structural obstacles also have the lowest obstacle with an average rank of 1.90. ...
doi:10.24115/s2446-6220202173d1734p.423-430
fatcat:mpxhk6gn5vhlncxp55zjihc3za
Pathology of obstacles of implementation of national curriculum document of Iran from the perspective of curriculum professors
2021
Laplage em Revista
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was structural obstacles. ...
Also the results of Friedman test show that from the perspective of respondents, the most important obstacle to the implementation of this document was the human obstacles, and the least important factor ...
Structural obstacles also have the lowest obstacle with an average rank of 1.90. ...
doi:10.24115/s2446-622020217extra-e1235p.556-563
fatcat:7m5yo5ntkbezvjz5kuuyxcppre
Implementing Structural Reforms in Abenomics: How to Reduce the Cost of Doing Business in Japan
2014
Social Science Research Network
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I appreciate your help. 34 We are grateful to Mary Shiratori for designing and conducting the survey. She also created spreadsheets of the survey result, which we used for the analysis. ...
Registration fees account for the bulk of the direct monetary cost to start a business in Japan. ...
Also, there is a social cost for implementing flexibilityenhancing structural reforms that need to be addressed. 32 Thus, it will be important to have clear KPIs for other growth enhancing reform areas ...
doi:10.2139/ssrn.2462735
fatcat:q6qbsbxekjefndizrt3d25uuea
CIRCULATION OF THE ELITE IN THE CHINESE COMMUNIST PARTY
2016
Journal of East Asian Studies
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Thus, we define a new family of metrics which consider change within each political body, the magnitude of such change, and the importance of each change to CCP structure and policy. ...
Our results capture important political developments from the irregular leadership change of the early years to the subsequent transformation of the CCP into a more institutionalized polity. ...
It fails to address several highly relevant aspects of leadership change in the CCP-change within each political body, the magnitude of such change, and the importance of each change to Party structure ...
doi:10.1017/jea.2015.6
fatcat:jtbz6zavdzd2fpx5gp3auqeycm
CODEC: Complex Document and Entity Collection
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2205.04546v1 fatcat:xjlom76y4bgi5nnqvgzmff7r6y
The results show the topics are challenging with headroom for document and entity ranking improvement. ...
Query expansion with entity information shows significant gains in document ranking, demonstrating the resource's value for evaluating and improving entity-oriented search. ...
Additionally, we'd like to acknowledge Federico Rossetto for his support and help with visualisation. ...
arXiv:2205.04546v2
fatcat:jqt5iaxwnnd4lbkv2aotvpd4py
Aspect Ranking Technique for Efficient Opinion Mining using Sentiment Analysis : Review
2019
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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This paper consist review works have been designed for opinion mining by using classification and ranking techniques. ...
Even though facts still play a very important role when information is sought on a topic, opinions have become increasingly important as well. ...
The determination of people's opinions toward a particular event can be extremely important in several fields, such as management sciences, political science, economics and other disciplines of social ...
doi:10.32628/cseit183812
fatcat:nee3ulw6ubacbivh7k6wkjl6ay
AUTOMATIC TEXT SUMMARIZATION USING SUPERVISED MACHINE LEARNING TECHNIQUE FOR HINDI LANGAUGE
2016
International Journal of Research in Engineering and Technology
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Next a supervised machine learning tool SVM rank is used to train the summarizer to extract important sentences, based on the feature vector. ...
The classes are in turn having ranks from 4 to 1 respectively with "4"indicating most important sentence and "1" being least relevant sentence . ...
Aashish Shah, expert Hindi language teachers, for donating their valuable time for helping in evaluation of summaries. ...
doi:10.15623/ijret.2016.0506065
fatcat:udidp5bkmjfrjflg2apucjs2te
Extracting Key Entities and Significant Events from Online Daily News
[chapter]
2008
Lecture Notes in Computer Science
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To help people obtain the most important information daily in the shortest time, a novel framework is presented for simultaneous key entities extraction and significant events mining from daily web news ...
Second, a weighted undirected bipartite graph is built based on entities and related news documents, then mutual reinforcement is imposed on the bipartite graph to rank both of them. ...
Fetched documents are firstly stored in local databases, then analyzed using web news parsing tools to build specific data structure of entities and documents for further computation. ...
doi:10.1007/978-3-540-88906-9_26
fatcat:ro42ratv5ngs7ap5kfzcxh6b4e
Historiographical Map of Petroleum Scientific Outputs in Science Citation Index (SCI) through 1990-2011
2013
International journal of information science and management
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USA, 7237 documents (27.28%), was the most collaborative country in this research. Iran with 321 documents ranked 21th country among all countries. ...
., with 85 documents ranked top among the most productive authors. In Iran, Kharrat from Petroleum University of Technology with 8 documents was the most productive Iranian author in petroleum field. ...
These 5 countries have 55.33 % of the total documents for themselves. Iran with 321 documents ranked 21 th among all countries. Marshall, A.G., the American author, ranked top among the authors. ...
doaj:cf0408a0ca9c460b8d22b7555fb97ea7
fatcat:vxkajl3ohrb7tkfajktagkbcky
Term-Community-Based Topic Detection with Variable Resolution
2021
Information
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We also establish a term ranking and use semantic word-embedding for presenting term communities in a way that facilitates their interpretation. ...
Network-based procedures for topic detection in huge text collections offer an intuitive alternative to probabilistic topic models. ...
Special thanks go to Rasmus Beckmann and Mark Azzam for fruitful discussions and constant support. ...
doi:10.3390/info12060221
fatcat:unxb27kbczcfbhuajchqmiwzom
'Fighting' or 'Conflict'? An Approach to Revealing Concepts of Terms in Political Discourse
2017
Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism
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The framework consists of three parts: 1) extracting important terms, 2) generating concordance for each term with stipulative definitions and explanations, and 3) agglomerating similar information of ...
This work attempts to provide a basic framework for revealing concepts of terms in political discourse with explicit contextual information. ...
Acknowledgments We would like to thank National Diet Library of Japan for allowing free use of retrieval system of the Diet Record of Japan. ...
doi:10.18653/v1/w17-4216
dblp:conf/emnlp/TangK17
fatcat:cp2ghdc2hzegrnrtb36tsjbv6e
LDA-Based Retrieval Framework for Semantic News Video Retrieval
2007
International Conference on Semantic Computing (ICSC 2007)
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Among these models, Latent Dirichlet Allocation(LDA) has been noted for its ability to discover the latent topic structure, and is broadly applied in many text-related tasks. ...
Especially for the ASR text with errors, the topic representation is more reasonable than the exact term representation. ...
From table.3 we can easily find the underlying topical structure: politics, sports and finance; but the structure in table.4 is not so clear except politics, for the number of documents about politics ...
doi:10.1109/icosc.2007.4338344
fatcat:gmio3bryuvejveca7fgsilr4d4
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