Hierarchical Multi-label Text Classification: Self-adaption Semantic Awareness Network Integrating Text Topic and Label Level Information

2021 ◽  
pp. 406-418
Author(s):  
Rui Zhao ◽  
Xiao Wei ◽  
Cong Ding ◽  
Yongqi Chen
Keyword(s):  
Text Classification ◽  
Level Information ◽  
Semantic Awareness

Multilinguistic Components of Spelling: An Overview

2013 ◽  
Vol 20 (4) ◽  
pp. 124-128 ◽  
Author(s):  
Angela Barber
Keyword(s):  
Integrated Model ◽  
Literacy Skills ◽  
Speech Language Pathologists ◽  
Language System ◽  
Adequate Information ◽  
Intervention Plan ◽  
Semantic Awareness

Spelling is a window into a student's individual language system and, therefore, canprovide clues into the student's understanding, use, and integration of underlyinglinguistic skills. Speech-language pathologists (SLPs) should be involved in improvingstudents' literacy skills, including spelling, though frequently available measures ofspelling do not provide adequate information regarding critical underlying linguistic skillsthat contribute to spelling. This paper outlines a multilinguistic, integrated model of wordstudy (Masterson & Apel, 2007) that highlights the important influences of phonemicawareness, orthographic pattern awareness, semantic awareness, morphologicalawareness and mental graphemic representations on spelling. An SLP can analyze anindividual's misspellings to identify impairments in specific linguistic components andthen develop an individualized, appropriate intervention plan tailored to a child's uniquelinguistic profile, thus maximizing intervention success.

A Brief Survey on Text Classification Using Various Machine Learning Techniques

2018 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
Padmavathi .S ◽  
M. Chidambaram
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Fixed Number ◽  
Machine Learning Techniques ◽  
Online Information ◽  
Rule Based ◽  
Learning Techniques ◽  
Machine Learning Approach ◽  
Rule Based Approach

Text classification has grown into more significant in managing and organizing the text data due to tremendous growth of online information. It does classification of documents in to fixed number of predefined categories. Rule based approach and Machine learning approach are the two ways of text classification. In rule based approach, classification of documents is done based on manually defined rules. In Machine learning based approach, classification rules or classifier are defined automatically using example documents. It has higher recall and quick process. This paper shows an investigation on text classification utilizing different machine learning techniques.

Knowledge representation in graph-models of complex technical systems

2020 ◽  
pp. 12-16
Author(s):  
Evgenia R. Muntyan
Keyword(s):  
Analytical Study ◽  
Level Structure ◽  
Graph Models ◽  
Level Data ◽  
Knowledge Formation ◽  
Different Types ◽  
Level Information ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
Structure Of Knowledge

The article analyzes a number of methods of knowledge formation using various graph models, including oriented, undirected graphs with the same type of edges and graphs with multiple and different types of edges. This article shows the possibilities of using graphs to represent a three-level structure of knowledge in the field of complex technical systems modeling. In such a model, at the first level, data is formed in the form of unrelated graph vertices, at the second level – information presented by a related undirected graph, and at the third level – knowledge in the form of a set of graph paths. The proposed interpretation of the structure of knowledge allows to create new opportunities for analytical study of knowledge and information, their properties and relationships.

Hasty Pudding Versus Tasty Bread: Regional Variations in Diet and Nutrition during the Industrial Revolution

2012 ◽  
pp. 9-30 ◽  
Author(s):  
Sara Horrell ◽  
Deborah Oxley
Keyword(s):  
Dairy Products ◽  
Industrial Revolution ◽  
Local Economy ◽  
Household Level ◽  
Level Data ◽  
Other Information ◽  
Level Information ◽  
Local Supply ◽  
Key Aspects ◽  
Nutritional Score

Using parish-level information from Sir F.M. Eden's The state of the poor (1797) we can identify typical diets for the counties of England. These diets varied considerably and afforded very different standards of nutrition. We compute a nutritional score for this diet, paying attention to the presence of vitamins, minerals and micronutrients shown to be essential for health and growth in constructing this measure. Other information in the reports allows us to relate county-level nutrition to factors in the local economy. In particular we find nutrition was positively related to the availability of common land in the area and to women's remunerated work if conducted from home. Lack of common land and little local supply of dairy products also pushed households into buying white wheaten bread rather than baking their own wholemeal loaf. Replicating some of this analysis with household-level data confirms these results. Diet also maps onto stature: male convicts to Australia were significantly taller if they originated in a county with a more nutritious diet. This verifies the important impact of nutrition on stature and demonstrates the sensitivity of height as a measure of key aspects of welfare.

Gendered Impact of Corruption in Healthcare Service Delivery in Nigeria

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Yetunde A. Aluko
Keyword(s):  
Service Delivery ◽  
Public Hospitals ◽  
Public Health Care ◽  
Women's Voices ◽  
Medical Supplies ◽  
Poor Women ◽  
Level Information ◽  
Life Threatening ◽  
Threatening Situation ◽  
The Impact

This paper supports the hypothesis that corruption and non-delivery of services in key sectors such as health have gender-specific poverty consequences. The study utilized qualitative micro-level information about the structures of corruption and its impact on poor women. Respondents expressed their perceptions on the occurrence of corrupt practices in public health care system and its wider impact on society. The findings revealed that the impact of corruption is felt disproportionately by women and the poor, who are most dependent on public services, and have no alternative even when facing corrupt practices in a life threatening situation, such as complicated birth delivery. Pregnant women denied access to doctors tended to deliver at home, which increased the likelihood of complications and maternal and child mortality. Medical supplies meant for public hospitals are sold to private clinics who charge more for drugs and supplies. There is need to strengthen sectoral oversight mechanisms and transparency as well as increase women’s voices in service delivery.

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