Semantic Analysis of Categorical Metadata to Search for Geographic Information

2006 ◽  
Author(s):  
R. Albertoni ◽  
A. Bertone ◽  
M. De Martino
Keyword(s):  
Semantic Analysis ◽  
Geographic Information

Visualization of Large-Scale Narrative Data Describing Human Error

2017 ◽  
Vol 59 (4) ◽  
pp. 520-534 ◽  
Author(s):  
William J. Irwin ◽  
Saul D. Robinson ◽  
Stephen M. Belt
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Latent Semantic Analysis ◽  
Human Error ◽  
Large Scale ◽  
Semantic Analysis ◽  
Difficult Problem ◽  
Geographic Information ◽  
Data Sets ◽  
Systems Software

Objective Introduced is a visual data exploration technique for compiling, reducing, organizing, visually rendering, and filtering text-based narratives for detailed analysis. Background The analysis of data sets provides an increasingly difficult problem. The method of visual representation is considered an effective tool in many applications. The focus of this study was to determine if a latent semantic analysis–based projection of narrative data into a geographic information systems software program provided a useful tool for reducing and organizing large sums of narrative data for analysis. Method This approach utilizes latent semantic analysis to reduce narratives to a high-dimensional vector, truncates the vector to a two-dimensional projection through application of isometric mapping, and then visually renders the result with geographic information systems software. This method is demonstrated on aviation self-reported safety narratives sourced from the Aviation Safety Reporting System. Results Thematic regions from the corpus are illustrated along with the first five topics identified. Conclusion Shown is the ability to assimilate a large number of narratives, identify contextual themes, recognize common events and outliers, and organize resultant topics. Application Large narrative-based data sets present in aviation and other domains may be visualized to facilitate efficient analysis, enhance comprehension, and improve safety.

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

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