Short Text: Experiment in Quantitative Analysis

2020 ◽  
pp. 116-126
Author(s):  
Vadim Andreyev
Keyword(s):  
Quantitative Analysis ◽  
Text Analysis ◽  
Emily Dickinson ◽  
Long Poem ◽  
Short Text ◽  
Limited Size ◽  
The World ◽  
American Poet ◽  
Quantitative Text Analysis ◽  
Different Levels

The method of quantitative text analysis is usually associated with vast corpora of text utilized to solve problems of attribution, dating, data mining, etc. The article is aimed to demonstrate that quantitative analysis can be used for the study of short pieces a few stanza long. The research deals with the 12 lines long poem «The name – of it – is Autumn» by Emily Dickinson, a famous American poet. The feature set is based on metaphorical models realized in the text, lexical units representing them, morphological classes of words, characteristics of syntax including verse syntax and rhythm. The conducted study has demonstrated that counting elements of text, which belong to different levels and aspects of verse text, makes it possible to reveal text inner structure, as well as the ways and the means used for the presentation of authorial metaphoric and spacial picture of the world. There is a positive correlation between the author’s use of semantic and linguistic means, whose frequency is also interrelated with the alteration of statics vs. dynamics ratio in the poetic world.The obtained data point at the possibility and necessity to apply the methodology of quantitative analysis even in the study of a limited size texts.

scholarly journals Talking About Education: How Topics Vary Between International Organizations

2021 ◽  
pp. 239-266
Author(s):  
Michael Windzio ◽  
Raphael Heiberger
Keyword(s):  
International Organizations ◽  
Text Analysis ◽  
Topic Modeling ◽  
Global Education ◽  
The World Bank ◽  
The World ◽  
Different Types ◽  
Quantitative Text Analysis ◽  
Open Question ◽  
Education Discourse

AbstractIn this chapter, Raphael Heiberger and Michael Windzio examine which topics are important for major education international organization (IOs). IOs in the field of education follow different ideological paradigms in the global education discourse. Yet, it is an open question as to whether different types of IOs focus on different topics and thereby support different paradigms of education. Based on more than 1000 documents with over 40 million words published by the World Bank, UNESCO, the ILO, the OECD, ISESCO, and SEAMEO, they explore education issues addressed in this sample. Using standardized methods of quantitative text analysis and topic modeling, Heiberger and Windzio reveal that major topics found in these documents do indeed differ between the different types of organizations.

scholarly journals Trends of Tweets on the Coronavirus Disease-2019 (COVID-19) Pandemic

2020 ◽  
Vol 15 (4) ◽  
pp. 530-533 ◽  
Author(s):  
Natt Leelawat ◽  
Jing Tang ◽  
Kumpol Saengtabtim ◽  
Ampan Laosunthara ◽  
◽  
...  
Keyword(s):  
Social Media ◽  
Text Analysis ◽  
World Health ◽  
Global Trends ◽  
Breaking News ◽  
Twitter Data ◽  
The World ◽  
Quantitative Text Analysis ◽  
Health Organization ◽  
Public Concerns

The Severe Acute Respiratory Syndrome Coronavirus 2 is a virus causing the COVID-19 pandemic around the world. The World Health Organization (WHO) raised it to the highest level of global alert. The English, Chinese, and Japanese language Twitter data related to this disease during the first period after the WHO started releasing the situation reports were collected and compared with the tweet trends. This study also used quantitative text analysis to extract and analyze the co-occurrence network of English tweets. The findings show that trends and public concerns in social media are related to the breaking news and global trends such as the confirmed cases, the reported death tolls, the quarantined cruise news, the informer, etc.

PSYCHOLOGICAL FEATURES OF EDUCATION AND TOLERANCE IN STUDENTS

2018 ◽  
Vol 16 (1) ◽  
pp. 112-119
Author(s):  
VLADIMIR GLEB NAYDONOV
Keyword(s):  
Statistical Analysis ◽  
Training Program ◽  
Rich Diversity ◽  
Interethnic Differences ◽  
The World ◽  
The Rich ◽  
Correct Understanding ◽  
Psychological Features ◽  
Different Levels

The article considers the students’ tolerance as a spectrum of personal manifestations of respect, acceptance and correct understanding of the rich diversity of cultures of the world, values of others’ personality. The purpose of the study is to investgate education and the formation of tolerance among the students. We have compiled a training program to improve the level of tolerance for interethnic differences. Based on the statistical analysis of the data obtained, the most important values that are significant for different levels of tolerance were identified.

Cognitive Models and Narrative Construction

2020 ◽  
pp. 90-103
Author(s):  
Mikhail Tarasov
Keyword(s):  
Text Analysis ◽  
Cognitive Models ◽  
Narrative Construction ◽  
Cognitive Structures ◽  
The Novel ◽  
Adequate Description ◽  
Cognitive Approach ◽  
Concept Model ◽  
Analysis And Synthesis ◽  
Different Levels

The article deals with the narrative text construction. The study thoroughly analyzes cognitive models that can become the basis of this process. Firstly, the author is studying the theory of rhetoricalcommonplaces. The article shows that this theory is suitable for constructing a rhetorical text, but not a narrative one. The second model discussed is the concept model. The article argues that this model is most convenient for text analysis, but not for its formation. Marvin Minsky's frame theory is analyzed in detail. It is stated that the theory of frames and individual narrative concepts, in particular those formulated by R. Barth, have much in common. It is concluded that the theory of frames can be perceived as the ontological basis of the narrative scientific description. In addition, the article briefly discusses the cognitive model by R. Quillian and R. Langacker. Their essence is to highlight the main and secondary content in the text. The possibility of using these models in the text analysis and its synthesis is proved by their conceptual similarity with G.Y. Solganik’s analysis of the novel by L. Tolstoy. Special attention is paid to the theory of R. Abelson. It is argued that the proposed hierarchy of cognitive structures has a generalizing character and is adequate to the text. The article gives an example based on a local narrative figure analysis undertaken by V.V. Vinogradov. The paper indicates the possibility to describe this figure within Abelson's theory. As a result of different cognitive models and narrative conceptscomparison, the article formulates the sequence of stages in the analysis and synthesis of text units found at different levels. The first stage of this sequence is the narrative figures analysis. The second one is the analysis of episodes, which are narrative figures associations. The third one is the analysis of the text plot structures. It is proposed to consider text units as realizations of cognitive structures. It is argued that the cognitive approach to the narrative provides its holistic and detailed adequate description.

Mapping the Topics and Evolutions of Chinese Children’s Bestsellers

Libri ◽  
2020 ◽  
Vol 70 (4) ◽  
pp. 305-317
Author(s):  
Jiming Hu ◽  
Xiang Zheng ◽  
Peng Wen ◽  
Jie Xu
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Network Analysis ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Children's Books ◽  
Children’S Books ◽  
Correlation Structures ◽  
The World ◽  
Data Source

AbstractChildren’s books involve a large number of topics. Research on them has been paid much attention to by both scholars and practitioners. However, the existing achievements do not focus on China, which is the fastest growing market for children’s books in the world. Studies using quantitative analysis are low in number, especially on the intellectual structure, evolution patterns, and development trends of topics of children’s bestsellers in China. Dangdang.com, the biggest Chinese online bookstore, was chosen as a data source to obtain children’s bestsellers, and topic words in them were extracted from brief introductions. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This study shows that topics of Chinese children’s bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.

scholarly journals The Hierarchy of Walking Needs and the COVID-19 Pandemic

2021 ◽  
Vol 18 (14) ◽  
pp. 7461
Author(s):  
Mohammad Paydar ◽  
Asal Kamani Fard
Keyword(s):  
Mental Health ◽  
Urban Design ◽  
Public Spaces ◽  
Empirical Literature ◽  
The World ◽  
The Face ◽  
Current Context ◽  
Mode Of Transport ◽  
Different Levels

More than 150 cities around the world have expanded emergency cycling and walking infrastructure to increase their resilience in the face of the COVID 19 pandemic. This tendency toward walking has led it to becoming the predominant daily mode of transport that also contributes to significant changes in the relationships between the hierarchy of walking needs and walking behaviour. These changes need to be addressed in order to increase the resilience of walking environments in the face of such a pandemic. This study was designed as a theoretical and empirical literature review seeking to improve the walking behaviour in relation to the hierarchy of walking needs within the current context of COVID-19. Accordingly, the interrelationship between the main aspects relating to walking-in the context of the pandemic- and the different levels in the hierarchy of walking needs were discussed. Results are presented in five sections of “density, crowding and stress during walking”, “sense of comfort/discomfort and stress in regard to crowded spaces during walking experiences”, “crowded spaces as insecure public spaces and the contribution of the type of urban configuration”, “role of motivational/restorative factors during walking trips to reduce the overload of stress and improve mental health”, and “urban design interventions on arrangement of visual sequences during walking”.

scholarly journals Depression-level assessment from multi-lingual conversational speech data using acoustic and text features

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Cenk Demiroglu ◽  
Aslı Beşirli ◽  
Yasin Ozkanca ◽  
Selime Çelik
Keyword(s):  
Text Analysis ◽  
Training Data ◽  
Conversational Speech ◽  
Acoustic Feature ◽  
The World ◽  
Significant Burden ◽  
Depression Assessment ◽  
Depression Level ◽  
Text Features ◽  
Multiple Languages

AbstractDepression is a widespread mental health problem around the world with a significant burden on economies. Its early diagnosis and treatment are critical to reduce the costs and even save lives. One key aspect to achieve that goal is to use technology and monitor depression remotely and relatively inexpensively using automated agents. There has been numerous efforts to automatically assess depression levels using audiovisual features as well as text-analysis of conversational speech transcriptions. However, difficulty in data collection and the limited amounts of data available for research present challenges that are hampering the success of the algorithms. One of the two novel contributions in this paper is to exploit databases from multiple languages for acoustic feature selection. Since a large number of features can be extracted from speech, given the small amounts of training data available, effective data selection is critical for success. Our proposed multi-lingual method was effective at selecting better features than the baseline algorithms, which significantly improved the depression assessment accuracy. The second contribution of the paper is to extract text-based features for depression assessment and use a novel algorithm to fuse the text- and speech-based classifiers which further boosted the performance.

scholarly journals Towards Accurate Deceptive Opinions Detection Based on Word Order-Preserving CNN

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Siyuan Zhao ◽  
Zhiwei Xu ◽  
Limin Liu ◽  
Mengjie Guo ◽  
Jing Yun
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Natural Language ◽  
Convolutional Neural Network ◽  
Language Processing ◽  
Word Order ◽  
Text Analysis ◽  
Important Application ◽  
Detection Mechanism ◽  
Short Text

Convolutional neural network (CNN) has revolutionized the field of natural language processing, which is considerably efficient at semantics analysis that underlies difficult natural language processing problems in a variety of domains. The deceptive opinion detection is an important application of the existing CNN models. The detection mechanism based on CNN models has better self-adaptability and can effectively identify all kinds of deceptive opinions. Online opinions are quite short, varying in their types and content. In order to effectively identify deceptive opinions, we need to comprehensively study the characteristics of deceptive opinions and explore novel characteristics besides the textual semantics and emotional polarity that have been widely used in text analysis. In this paper, we optimize the convolutional neural network model by embedding the word order characteristics in its convolution layer and pooling layer, which makes convolutional neural network more suitable for short text classification and deceptive opinions detection. The TensorFlow-based experiments demonstrate that the proposed detection mechanism achieves more accurate deceptive opinion detection results.

The Political Economics of Population Growth: The Case of China

1971 ◽  
Vol 23 (2) ◽  
pp. 245-272 ◽  
Author(s):  
Pi-Chao Chen
Keyword(s):  
Economic Development ◽  
Quantitative Analysis ◽  
Population Growth ◽  
Historical Data ◽  
Historical Record ◽  
The Political ◽  
High Population Density ◽  
Rapid Population Growth ◽  
The World ◽  
Simon Kuznets

Some economists argue that high population density and rapid population growth are not in themselves impediments to economic development. On the basis of a quantitative analysis of historical data, Simon Kuznets, for instance, concludes that, historically, rates of economic development have not significantly correlated, either positively or negatively, with rates of population growth. Similarly, E. E. Hagen observes that “nowhere in the world has population growth induced by rising income been sufficient to halt the rise in income. … The historical record indicates that rise in income in these societies has failed to occur not because something thwarted it, but because no force has been present to cause income to rise.

Visual control of orientation behaviour in the fly: Part I. A quantitative analysis

1976 ◽  
Vol 9 (3) ◽  
pp. 311-375 ◽  
Author(s):  
Werner Reichardt ◽  
Tomaso Poggio
Keyword(s):  
Information Processing ◽  
Quantitative Analysis ◽  
Visual System ◽  
Sensory Information ◽  
Model Systems ◽  
Suitable Model ◽  
Logical Organization ◽  
Integrative Level ◽  
Processing Properties ◽  
Different Levels

An understanding of sensory information processing in the nervous system will probably require investigations with a variety of ‘model’ systems at different levels of complexity.Our choice of a suitable model system was constrained by two conflicting requirements: on one hand the information processing properties of the system should be rather complex, on the other hand the system should be amenable to a quantitative analysis. In this sense the fly represents a compromise.In these two papers we explore how optical information is processed by the fly's visual system. Our objective is to unravel the logical organization of the fly's visual system and its underlying functional and computational principles. Our approach is at a highly integrative level. There are different levels of analysing and ‘understanding’ complex systems, like a brain or a sophisticated computer.

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