• Title, Summary, Keyword: Word Association Analysis

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Performance Analysis of Opinion Mining using Word2vec (Word2vec을 이용한 오피니언 마이닝 성과분석 연구)

  • Eo, Kyun Sun;Lee, Kun Chang
    • Proceedings of the Korea Contents Association Conference
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    • pp.7-8
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    • 2018
  • This study proposes an analysis of the Word2vec-based machine learning classifiers for the sake of opinion mining tasks. As a bench-marking method, BOW (Bag-of-Words) was adopted. On the basis of utilizing the Word2vec and BOW as feature extraction methods, we applied Laptop and Restaurant dataset to LR, DT, SVM, RF classifiers. The results showed that the Word2vec feature extraction yields more improved performance.

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An Analysis of the Word-Final Cluster of the Syllable Structure (음절구조의 어말 자음군에 관한 분석)

  • Oh, Kwan-Young
    • English Language & Literature Teaching
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    • v.10 no.2
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    • pp.67-87
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    • 2004
  • The purpose of this paper is to show how the coda of a syllable and word-final clusters are represented in the English syllable structure. Previous theories on the syllable assume that there is only one segment in the coda position. And, as we know, the theories that license only one segment in the coda make it difficult to syllabicate the word-final cluster appropriately when more than two segments in the word-final cluster are encountered. I considered three approaches: the previous syllable structure (Selkirk, 1982; Borowsky 1989), sonority sequencing (Giegerich, 1992; Roca, 1999) and feature analysis (Goldsmith, 1990), But, all the considered methods don't give us a satisfactory explanation regarding word-final clusters. Finally, I will suggest a modified syllable representation as an alternative by placing two different appendixes under the Phonological Word which forms a constituent above the syllable node. From this it is possible to explain the former problematic word-final clusters including morphological information asan inflectional suffix in the structure.

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The Impact of Word of Mouth on Customer Perceived Value for the Malaysian Restaurant Industry

  • Oluwafemi, Adebusoye Shedrack;Dastane, Omkar
    • The Journal of Business Economics and Environmental Studies
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    • v.6 no.3
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    • pp.21-31
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    • 2016
  • Purpose - The purpose of this research is to determine the impact of word of mouth on customer perceived value for restaurants in Malaysia. The objectives of this research include determining how word of mouth (WoM) factors - frequency of word of mouth messages, reputation of word of mouth messenger, richness of word of mouth message, dispersion of word of mouth conversations and manner of word of mouth delivery impact customer perceived value in Malaysian restaurant industry. Research Design, Data, and Methodology - The research follows causal / explanatory research method based on quantitative data. A sample of 150 restaurant customers in Kuala Lumpur, Malaysia was selected using convenience sampling technique. Likert scale questionnaire is used to collect data and data is analysed using regression analysis through SPSS 22. Results - The statistical analysis revealed that independent variable 'manner of delivery' significantly and positively impacts customer perceived value for restaurants in Malaysia. Conclusions - To build strong positive customer perception, Malaysian restaurants can enhance word of mouth campaigns' 'manner of delivery' by making them passionate, exciting and with high emotional appeal.

Pronunciation error types and sentence intelligibility of Korean EFL learners (영어 학습자의 발음 오류 유형과 발화 명료도의 관계 연구)

  • Kim, Hyun-Jin
    • English Language & Literature Teaching
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    • v.10 no.3
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    • pp.159-175
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    • 2004
  • This paper investigated the types of errors on English pronunciation and intelligibility of Korean EFL students, and the relationship between the pronunciation accuracy and intelligibility. Thirty one students were evaluated by six English native speakers in terms of overall intelligibility and accuracy In five areas such as nuclear stress, word stress, syllable structure, consonants and vowels. According to the findings of the study, pronunciation errors were made by the subjects more frequently In word stress than any other area of pronunciation accuracy. The Pearson correlation analysis showed that intelligibility was related with word stress, syllable structure, consonants and vowels, and the stepwise multiple regression analysis indicated that, among the above five areas of pronunciation accuracy, word stress best accounted for the intelligibility of a given sentence. In the conclusion, the importance of teaching pronunciation of in those five areas with a special focus on word stress was emphasized m terms of intelligibility.

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Design of a Sentiment Analysis System to Prevent School Violence and Student's Suicide (학교폭력과 자살사고를 예방하기 위한 감성분석 시스템의 설계)

  • Kim, YoungTaek
    • The Journal of Korean Association of Computer Education
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    • v.17 no.6
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    • pp.115-122
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    • 2014
  • One of the problems with current youth generations is increasing rate of violence and suicide in their school lives, and this study aims at the design of a sentiment analysis system to prevent suicide by uising big data process. The main issues of the design are economical implementation, easy and fast processing for the users, so, the open source Hadoop system with MapReduce algorithm is used on the HDFS(Hadoop Distributed File System) for the experimentation. This study uses word count method to do the sentiment analysis with informal data on some sns communications concerning a kinds of violent words, in terms of text mining to avoid some expensive and complex statistical analysis methods.

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Hierarchical Structure in Semantic Networks of Japanese Word Associations

  • Miyake, Maki;Joyce, Terry;Jung, Jae-Young;Akama, Hiroyuki
    • Proceedings of the Korean Society for Language and Information Conference
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    • pp.321-329
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    • 2007
  • This paper reports on the application of network analysis approaches to investigate the characteristics of graph representations of Japanese word associations. Two semantic networks are constructed from two separate Japanese word association databases. The basic statistical features of the networks indicate that they have scale-free and small-world properties and that they exhibit hierarchical organization. A graph clustering method is also applied to the networks with the objective of generating hierarchical structures within the semantic networks. The method is shown to be an efficient tool for analyzing large-scale structures within corpora. As a utilization of the network clustering results, we briefly introduce two web-based applications: the first is a search system that highlights various possible relations between words according to association type, while the second is to present the hierarchical architecture of a semantic network. The systems realize dynamic representations of network structures based on the relationships between words and concepts.

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Segmenting Chinese Texts into Words for Semantic Network Analysis

  • Danowski, James A.
    • Journal of Contemporary Eastern Asia
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    • v.16 no.2
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    • pp.110-144
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    • 2017
  • Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted. This paper describes how to perform Chinese word segmentation using the Stanford Natural Language Processing group's Stanford Word Segmenter v. 3.8.0, released in June 2017.

Design and Implementation of Minutes Summary System Based on Word Frequency and Similarity Analysis (단어 빈도와 유사도 분석 기반의 회의록 요약 시스템 설계 및 구현)

  • Heo, Kanhgo;Yang, Jinwoo;Kim, Donghyun;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.620-629
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    • 2019
  • An automated minutes summary system is required to objectively summarize and classify the contents of discussions or discussions for decision making. This paper designs and implements a minutes summary system using word2vec model to complement the existing minutes summary system. The proposed system is further implemented with word2vec model to remove index words during morpheme analysis and to extract representative sentences with common opinions from documents. The proposed system automatically classifies documents collected during the meeting process and extracts representative sentences representing the agenda among various opinions. The conference host can quickly identify and manage all the agendas discussed at the meeting through the proposal system. The proposed system analyzes various agendas of large-scale debates or discussions and summarizes sentences that can be representative opinions to support fast and accurate decision making.

The Effect of the Physical Environment on the Customer Satisfaction, Revisit Intention, and Word of Mouth Intention in Japanese Restaurants (일식전문점의 물리적 환경이 고객만족, 재방문의도, 구전의도에 미치는 영향)

  • Park, Se-Hwan;Yoo, Young-Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.181-194
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    • 2019
  • The purpose of this study is to investigate the effect of physical environment of Japanese restaurant on customer satisfaction, revisit intention and word of mouth intention. For this purpose, data were collected from 341 adult males and females who had used Japanese restaurants in Daegu. SPSS program frequency analysis, factor analysis, regression analysis and multiple regression analysis were used for data analysis. Through the factor analysis, the physical environment of the Japanese specialty restaurant was identified as a component of comfort, aesthetics, and convenience. As a result of the multiple regression analysis, the three components of the physical environment have positive effects on customer satisfaction, return visit intention, and word of mouth intention. The results of regression analysis showed that customer satisfaction had a positive effect on revisit and word of mouth intention. Through the results of this study, we confirmed the physical and environmental impacts of the specialty restaurants and suggested the practical and theoretical implications.

Exploring Teaching Method for Productive Knowledge of Scientific Concept Words through Science Textbook Quantitative Analysis (과학교과서 텍스트의 계량적 분석을 이용한 과학 개념어의 생산적 지식 교육 방안 탐색)

  • Yun, Eunjeong
    • Journal of The Korean Association For Science Education
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    • v.40 no.1
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    • pp.41-50
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    • 2020
  • Looking at the understanding of scientific concepts from a linguistic perspective, it is very important for students to develop a deep and sophisticated understanding of words used in scientific concept as well as the ability to use them correctly. This study intends to provide the basis for productive knowledge education of scientific words by noting that the foundation of productive knowledge teaching on scientific words is not well established, and by exploring ways to teach the relationship among words that constitute scientific concept in a productive and effective manner. To this end, we extracted the relationship among the words that make up the scientific concept from the text of science textbook by using quantitative text analysis methods, second, qualitatively examined the meaning of the word relationship extracted as a result of each method, and third, we proposed a writing activity method to help improve the productive knowledge of scientific concept words. We analyzed the text of the "Force and motion" unit on first grade science textbook by using four methods of quantitative linguistic analysis: word cluster, co-occurrence, text network analysis, and word-embedding. As results, this study suggests four writing activities, completing sentence activity by using the result of word cluster analysis, filling the blanks activity by using the result of co-occurrence analysis, material-oriented writing activities by using the result of text network analysis, and finally we made a list of important words by using the result of word embedding.