The semantic analysis of the nominal bases in Hungarian

1949 ◽  
Vol 5 (1) ◽  
pp. 185-197 ◽  
Author(s):  
John Lotz
Keyword(s):  
Semantic Analysis

Referential-Semantic Analysis

1980 ◽  
Author(s):  
Torben Thrane
Keyword(s):  
Semantic Analysis

Feel Thine Own Self – Mood Congruency Evaluation of Emotional State Adjectives

2020 ◽  
pp. 1-17
Author(s):  
Szczepan J. Grzybowski ◽  
Miroslaw Wyczesany ◽  
Jan Kaiser
Keyword(s):  
Mood Induction ◽  
Semantic Analysis ◽  
Emotional State ◽  
Time Window ◽  
Event Related Potential ◽  
Negativity Bias ◽  
Positive Potential ◽  
Semantic Access ◽  
Current Mood ◽  
Component Time

Abstract. The goal of the study was to explore event-related potential (ERP) differences during the processing of emotional adjectives that were evaluated as congruent or incongruent with the current mood. We hypothesized that the first effects of congruence evaluation would be evidenced during the earliest stages of semantic analysis. Sixty mood adjectives were presented separately for 1,000 ms each during two sessions of mood induction. After each presentation, participants evaluated to what extent the word described their mood. The results pointed to incongruence marking of adjective’s meaning with current mood during early attention orientation and semantic access stages (the P150 component time window). This was followed by enhanced processing of congruent words at later stages. As a secondary goal the study also explored word valence effects and their relation to congruence evaluation. In this regard, no significant effects were observed on the ERPs; however, a negativity bias (enhanced responses to negative adjectives) was noted on the behavioral data (RTs), which could correspond to the small differences traced on the late positive potential.

Syntactic and Semantic Analysis on Slogans of Aviation Companies in Asean Countries

2019 ◽  
Vol 3 (2) ◽  
pp. 123-131
Author(s):  
Ervina CM Simatupang
Keyword(s):  
Semantic Analysis ◽  
Data Source ◽  
Asean Countries ◽  
Descriptive Method

The title of this study is Syntactic and Sematic Analysis on Slogans of Aviation in Asean Countries. The aim of this study is to analyze and describe the slogans of aviation companies in Asean companies syntactically and semantically. The method used in this study is descriptive method. Data source are taken from official websites of various aviation companies in Asean countries, and there are taken from Wikipedia as the website has listed in chart. The chart has covered the profile of the aviation companies in Asean countries. The theories used to analyze the data syntactically are from O

Principles of economic security management of institutions of higher education

2019 ◽  
pp. 174-181
Author(s):  
Nataliia Tsymbalenko
Keyword(s):  
Management System ◽  
Semantic Analysis ◽  
Security Management ◽  
Economic Security ◽  
Theoretical Concepts ◽  
Economic Role ◽  
Social Mission ◽  
Analysis And Synthesis ◽  
Definition Of ◽  
The University

The subject of research-theoretical concepts of economic security managementof universities. The purpose of the article. The study of the essence of the economicsecurity management system of the university and the definition of its main tasks,the formulation of principles of economic security management of the university.Methodology. The dialectical method, methods of analysis and synthesis, methodsof structural-logical and semantic analysis were used to study and summarizescientific papers on the research topic. The results of the work. The essence of theuniversity’s economic security management system has been reviewed. The maintasks of the control system have been identified. A definition of the university’seconomic security system has been proposed. Principles of management of economicsecurity of the university have been formulated. These are: scientific andorganizational and social principles. Conclusions. The proposed principles allow totake into account the economic role and social mission of universities in managingeconomic security.

EVENT MODELS PERFOMANCE EVALUATION IN THE VIDEOSTREAM SEMANTIC ANALYSIS

2014 ◽  
pp. 144-151
Author(s):  
S.G. Antoshchuk ◽  
◽  
N.A. Godovichenko
Keyword(s):  
Semantic Analysis ◽  
Event Models

Task Estimation Using Latent Semantic Analysis of Visual Scenes and Spoken Words

2012 ◽  
Vol 132 (9) ◽  
pp. 1473-1480
Author(s):  
Masashi Kimura ◽  
Shinta Sawada ◽  
Yurie Iribe ◽  
Kouichi Katsurada ◽  
Tsuneo Nitta
Keyword(s):  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Spoken Words ◽  
Visual Scenes

Similarity Detection Using Latent Semantic Analysis Algorithm

2018 ◽  
Vol 6 (8) ◽  
pp. 102
Author(s):  
Priyanka R. Patil ◽  
Shital A. Patil
Keyword(s):  
Latent Semantic Analysis ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Mining Method ◽  
Research Papers ◽  
Information Measures ◽  
Automated Software ◽  
Day By Day ◽  
Ways Of Life ◽  
Dirichlet Allocation

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.

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