scholarly journals Results of Cluster Analysis of Semantic Features “What is the Person’s Gender? and “What is the Person’s Appearance?” for the Stimulus “Flirting Person””

2021 ◽  
Vol 16 ◽  
pp. 54-63
Author(s):  
Iya Gordienko-Mytrofanova ◽  
Denis Hohol ◽  
Serhii Sauta ◽  
Maryna Konok ◽  
Serhii Bezkorovainyi
Keyword(s):  
Cluster Analysis ◽  
Research Method ◽  
Positive Attitude ◽  
Native Speakers ◽  
Semantic Feature ◽  
Overwhelming Majority ◽  
Behaviour Pattern ◽  
Main Stage ◽  
Semantic Features ◽  
Transgender Identity

The present work continues a series of studies concerning ludic competence/ playfulness by means of psycholinguistic instruments and is devoted to description of the behaviour pattern of the ludic position “Diplomat”, which corresponds to flirting as one of the components of playfulness. The key research method is psycholinguistic experiment whose main stage is the controlled association experiment (CAE) with the stimulus “flirting person”. The sample consisted of 215 young respondents (age 21-35). The instructions for the controlled association experiment was developed in the frame of the parametric concept of I.A. Sternin. 23 questions (semantic features) were formulated. They were recognized as relevant to communication for the stimulus “flirting person” and allowed to obtain the material for describing the behaviour pattern of ludic position Diplomat (“flirting person”) reflecting the reality of linguistic consciousness of native speakers. This study presents the results of cluster analysis of two association fields built for the following semantic features: “What is the person’s gender?” and “What is the person’s appearance?”. The results of cluster analysis of the association field built for the semantic feature “What is the person’s gender?” indicate that in the linguistic consciousness of the inhabitants of Ukraine, the overwhelming majority of respondents (93%) accept the binary concept of gender, for 3% of respondents gender does not matter, and only one respondent considers the transgender identity. The analysis of the association field built for the semantic feature “What is the person’s appearance?” allows us to assert that the absolute majority of respondents (78%) demonstrates an emotionally positive attitude towards “flirting person”.

The Cluster Configuration of the Semantic Space of Polysituational Juridical Verbs with the Subject «Judge» in English

2020 ◽  
pp. 101-115
Author(s):  
Anton Silnitsky
Keyword(s):  
Cluster Analysis ◽  
Semantic Space ◽  
Semantic Feature ◽  
Negative Evaluation ◽  
Semantic Features ◽  
Structural Elements ◽  
Social Sphere ◽  
Quantitative Linguistics ◽  
Cluster Configuration ◽  
The Subject

The article is dedicated to the analysis of the semantic space of polysituational juridical verbs with the subject «judge» in English. The theoretical part of the research combines some aspects of «verb-centric» conception and «quantitative linguistics». A polisituational verb» implies a complex verbal situation consisting of several simple situations. The notion of a «juridical verb» correlates with a juridical social sphere. The article substantiates diagnostic semantic features which constitute the structural elements of the semantic space. The semantic features are organized into semantic plans. One semantic plan («chronostructural») being «categorical» integrates the features «basic situation» and «background situation». The «subcategorical» semantic plans are: «teleological » (the features: «definite» and «indefinite» situations), «temporal» (the features: «retrospective» and «prospective» situations), «motivational» («strong» and «weak» situations), «adject-legal» («base», «sanctions» and «processual» law), «adject-functional» («instrumental» and «purpose-oriented» law), «adjectsubstantive» («material» and «person» adject), «interactive» («convergent», «divergent » and «invergent»), «hierarchical» («dominant» and «subordinate» subject), «axiological» («positive» and «negative» evaluation). Each subcategorical semantic feature (exept for temporal plan features) correlates with one of the categorical («basic situation» or «background situation»). The actant «judge» is modeled by means of the following features within a basic situation: «processual» law, «instrumental» law and «dominant» subject. By means of cluster analysis the semantic features were grouped into two clusters («Divergent» and «Convergent-invergent») in correlation with an accusatorial or a justificatory-undifferentiated sentence. The differential (most relevant) semantic characteristics within the basic situation are the features of interactive and motivational plans, within the background situation they constitute the features of adject-legal, adject-functional and interactive plans.

scholarly journals Developing the instructions for the controlled association experiment by means of semantic features for the stimulus “flirting person”

2021 ◽  
Vol 4 (1) ◽  
pp. 22-32
Author(s):  
I. V. Gordienko-Mytrofanova ◽  
D. M. Hohol ◽  
M. A. Nesterenko
Keyword(s):  
Cluster Analysis ◽  
Speech Acts ◽  
Emotional State ◽  
Family Relations ◽  
Behaviour Pattern ◽  
Semantic Features ◽  
Psycholinguistic Research ◽  
Main Method ◽  
Gender And Age ◽  
Major Stage

Background: This article continues a series of studies devoted to ludic competence/playfulness and one of its components is flirting. The aim of the study: in the context of parametric concept of meaning, to identify on the basis of applied psycholinguistic research the semantic components of the stimulus “flirting person”, which are actualized in the speech acts of Russian-speaking inhabitants of Ukraine. Material and Methods: The main method of the research is a psycholinguistic experiment whose major stage is the controlled association experiment with the stimulus “flirting person”. The sample comprised 215 young people (aged 21-35), of which 112 females and 103 males. Results: At the final stage of formulation of the instructions 23 semantic features were selected for the stimulus “flirting person”. The results of the controlled association experiment with the stimulus “flirting person” allowed to build 23 associative fields and obtain the material for describing the behaviour pattern of ludic position Diplomat (flirting person) reflecting the reality of linguistic consciousness of young Russian-speaking inhabitants of Ukraine. Conclusions: Cluster analysis of the associative field of the semantic feature “What is the person’s marital status?” allowed to define: three core clusters – “Free” (71.16%), “In a relationship” (14.42%), “Any” (3.72%); three peripheral clusters – “Qualities” (3.26%), “Emotional State” (3.26)%, “Role in family relations” (1.40%); extreme peripheral clusters – “Changeable” (0.93%); an isolated female reaction “Guy” suggests an ambiguous interpretation and allows to highlight different meanings – “Gender” and “Age”.

scholarly journals ATTITUDES OF INDIGENOUS ACEHNESE PEOPLE TOWARDS THEIR VERNACULAR MAINTENANCE IN LANGSA.

2017 ◽  
Vol 2 (2) ◽  
pp. 124-146
Author(s):  
Fakhrurrazi Fakhrurrazi
Keyword(s):  
Qualitative Research ◽  
Research Method ◽  
Positive Attitude ◽  
Native Speakers ◽  
Negative Attitude ◽  
Cooperative Model ◽  
The Subject ◽  
People’S Attitudes ◽  
The City ◽  
Everyday Communication

This research is a study on native people’s attitudes towards Acehnese language in Langsa Aceh. The research design used a qualitative research method that examines the attitudes of native speakers of the language of Aceh in Langsa in prewserving the language. The subject of research is the native speakers of Acehnese who live in the city of Langsa from eighteen years to twenty years old. This study used observation, questionnaire and interview. The data obtained from this study were analyzed based on the cooperative model intrcidued by Miles and Hubermann. The study shows that 55% of respondents indicates a very positive attitude towards in preserving the Acehnese by using the language in everyday communication. While 45% of respondents indicates a negative attitude where they seldom use Acehnese in their daily interaction and very often switch the language to Indonesian in their communication. The study also reveals that the use of Acehnese at home, the pride of using Acehnese and the Acehnese as identity are the factors that contribute to the preservation of Acehnese.

scholarly journals An Efficient Module for Instance Segmentation Based on Multi-Level Features and Attention Mechanisms

2021 ◽  
Vol 11 (3) ◽  
pp. 968
Author(s):  
Yingchun Sun ◽  
Wang Gao ◽  
Shuguo Pan ◽  
Tao Zhao ◽  
Yahui Peng
Keyword(s):  
Feature Extraction ◽  
Spatial Structure ◽  
Semantic Feature ◽  
Semantic Features ◽  
Segmentation Method ◽  
Spatial Dimensions ◽  
Feature Pyramid ◽  
Multi Level ◽  
High Level ◽  
Instance Segmentation

Recently, multi-level feature networks have been extensively used in instance segmentation. However, because not all features are beneficial to instance segmentation tasks, the performance of networks cannot be adequately improved by synthesizing multi-level convolutional features indiscriminately. In order to solve the problem, an attention-based feature pyramid module (AFPM) is proposed, which integrates the attention mechanism on the basis of a multi-level feature pyramid network to efficiently and pertinently extract the high-level semantic features and low-level spatial structure features; for instance, segmentation. Firstly, we adopt a convolutional block attention module (CBAM) into feature extraction, and sequentially generate attention maps which focus on instance-related features along the channel and spatial dimensions. Secondly, we build inter-dimensional dependencies through a convolutional triplet attention module (CTAM) in lateral attention connections, which is used to propagate a helpful semantic feature map and filter redundant informative features irrelevant to instance objects. Finally, we construct branches for feature enhancement to strengthen detailed information to boost the entire feature hierarchy of the network. The experimental results on the Cityscapes dataset manifest that the proposed module outperforms other excellent methods under different evaluation metrics and effectively upgrades the performance of the instance segmentation method.

scholarly journals Technical and Humanities Students’ Perspectives on the Development and Sustainability of Artificial Intelligence (AI)

2018 ◽  
Vol 10 (9) ◽  
pp. 3066 ◽  
Author(s):  
Vasile Gherheș ◽  
Ciprian Obrad
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Research Method ◽  
Quantitative Research ◽  
Positive Attitude ◽  
Negative Impact ◽  
Representation Error ◽  
The Social ◽  
The Future ◽  
Humanities Students

This study investigates how the development of artificial intelligence (AI) is perceived by the students enrolled in technical and humanistic specializations at two universities in Timisoara. It has an emphasis on identifying their attitudes towards the phenomenon, on the connotations associated with it, and on the possible impact of artificial intelligence on certain areas of the social life. Moreover, the present study reveals the students’ perceptions on the sustainability of these changes and developments, and therefore aims to reduce the possible negative impact on consumers, and at anticipate the changes that AI will produce in the future. In order to collect the data, the authors have used a quantitative research method. A questionnaire-based sociological survey was completed by 928 students, with a representation error of only ±3%. The analysis has shown that a great number of respondents have a positive attitude towards the emergence of AI, who believe it will influence society for the better. The results have also underscored underlying differences based on the respondents’ type of specialization (humanistic or technical), and their gender.

scholarly journals Stem Alternation in Tłı̨chǫ Yatıì Classificatory Verbs: A Cognitive Semantic Account

2020 ◽  
Author(s):  
Hussein Al-Bataineh
Keyword(s):  
Semantic Feature ◽  
The Other ◽  
Semantic Features ◽  
Semantic Account ◽  
Documentary Sources ◽  
Feature Geometry ◽  
Cognitive Semantic ◽  
Field Notes

This paper investigates the phenomenon of ‘classificatory verbs,’ i.e., a set of motion and positional verbs that show stem alternation depending on the semantic features of one of their arguments. The data is drawn mainly from Tłı̨chǫ Yatıì Multimedia Dictionary, Nicholas Welch’s field notes, and other documentary sources of the language. Tłı̨chǫ classificatory verbs are presented and analyzed in detail. The paper argues that Tłı̨chǫ Yatıì classificatory verbs belong to four semantic subclasses and that these subclasses show a decreasing degree of stem alternations related to argument classification. The inconsistency in stem alternation is triggered by the presence or absence of some semantic features that determine the number of stem allomorphs. Locative verbs are affected by the [COMFORT] feature, and the other three sets are influenced by [TRANSFER], [INITIAL AGENTIVE] and [FINAL AGENTIVE] features. Moreover, the paper outlines a semantic feature geometry that accounts for the observed regularities in classificatory verb stems and their possible variations intra- and cross-linguistically.

Creation of the Training-Chart

2014 ◽  
Vol 5 (2) ◽  
pp. 1-18 ◽  
Author(s):  
Neetima Agarwal ◽  
Vandana Ahuja
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Research Method ◽  
Holistic Approach ◽  
Skills Assessment ◽  
Exploratory Research ◽  
Training Activities ◽  
Cluster Profiles ◽  
Organizational Expectations ◽  
Different Levels

This paper aims to explain that it is vital for any organization to imbue employee skills assessment before tailoring any training program and has further accelerated the genesis of the ‘Training-Chart' which is an indicator of both employee skills and organizational expectations .Exploratory research method is used for this study and Employability Skill Framework is developed using Factor analysis. The Employee skill set is further subjected to K-means cluster analysis where every cluster profile extracted represents the detailed summary of the employees in the cluster, in the context of their expertise in the present jobs. Based on these cluster profiles and their implications, 78 respondents have categorised the utility and essentiality of different skill segments on three different levels of organization. This paper is aimed to provide a holistic approach to make the training activities more effective.

scholarly journals Social networks for better education and better grades

2020 ◽  
Vol 66 (1) ◽  
pp. 55-65
Author(s):  
Alta Pavin Banović ◽  
Sanja Dravinski
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Medical School ◽  
Information Flow ◽  
Research Method ◽  
Positive Attitude ◽  
Online Survey ◽  
Educational Content ◽  
Teachers And Students ◽  
Use Of Social Media

The goal of the paper is to show the results of a research conducted among students of Medical School Osijek on the use of social media as tools for exchanging educational content with their teachers, which leads to a better adoption of the content and better grades. Teachers and students learn about social media through preventive programs. The research method is an online survey conducted in 10 class departments. Results: Modern social media used in teaching enable better communication between students and teachers, faster information flow and easier preparation of students for school as well as development of a positive attitude on the use of social media in the teaching process.

scholarly journals Market characteristics and cluster analysis of non-wood forest products

2017 ◽  
Vol 141 (3-4) ◽  
pp. 151-162
Author(s):  
Ljiljana Keča ◽  
Špela Pezdevšek-Malovrh ◽  
Sreten Jelić ◽  
Stjepan Posavec ◽  
Milica Marčeta
Keyword(s):  
Cluster Analysis ◽  
Spatial Distribution ◽  
Research Method ◽  
Forest Products ◽  
Aromatic Plants ◽  
Medicinal And Aromatic Plants ◽  
Main Research ◽  
And Cluster Analysis ◽  
Wild Berries

The share of small and medium-sized enterprises (SMEs) is largely present in forestry, especially in the segment related to non-wood forest products (NWFPs) in Europe. They are also a dominant category in entrepreneurship in Serbia. Therefore, the subjects of this research were the companies operating in the sector of NWFPs, within specific statistical regions of Serbia. The database of SMEs was obtained from 119 SMEs and the share of surveyed SMEs was 81.5%. The main research method was two-step cluster analysis. Questionnaire was used for the purpose of the research. The aim of the research was to identify clusters in order to establish similarities within the defined clusters and the differences among them. Spatial distribution of specific categories of NWFPs in nature (mushrooms, medicinal and aromatic plants, honey and wild berries), contributed to the portfolio of the companies. This largely influenced clusters that are created by categories of products that are typical for certain statistical regions in Serbia.

scholarly journals Chinese Event Extraction Based on Attention and Semantic Features: A Bidirectional Circular Neural Network

2018 ◽  
Vol 10 (10) ◽  
pp. 95 ◽  
Author(s):  
Yue Wu ◽  
Junyi Zhang
Keyword(s):  
Neural Network ◽  
Attention Mechanism ◽  
Semantic Feature ◽  
Word Embedding ◽  
Event Extraction ◽  
Semantic Features ◽  
Improve Performance

Chinese event extraction uses word embedding to capture similarity, but suffers when handling previously unseen or rare words. From the test, we know that characters may provide some information that we cannot obtain in words, so we propose a novel architecture for combining word representations: character–word embedding based on attention and semantic features. By using an attention mechanism, our method is able to dynamically decide how much information to use from word or character level embedding. With the semantic feature, we can obtain some more information about a word from the sentence. We evaluate different methods on the CEC Corpus, and this method is found to improve performance.

Sign in / Sign up

Export Citation Format

Share Document