• Title/Summary/Keyword: POS 시스템

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Hybrid POS Tagging with generalized unknown word handling and post error-correction rules (일반화된 미등록어 처리와 오류 수정규칙을 이용한 혼합형 품사태깅)

  • Cha, Jeong-Won;Lee, Won-Il;Lee, Geun-Bae;Lee, Jong-Hyeok
    • Annual Conference on Human and Language Technology
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    • 1997.10a
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    • pp.88-93
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    • 1997
  • 본 논문에서는 품사 태깅을 위해 여러 통계 모델을 실험을 통하여 비교하였으며 이를 토대로 통계적 모델을 구성하였다. 형태소 패턴 사전을 이용하여 미등록어의 위치와 개수에 관계없는 일반적인 방법의 미등록어 처리 방법을 개발하고 통계모델이 가지는 단점을 보완할 수 있는 오류 수정 규칙을 함께 이용하여 혼합형 품사 태깅 시스템인 $POSTAG^{i}$를 개발하였다. 미등록어를 추정하는 형태소 패턴 사전은 한국어 음절 정보와 용언의 불규칙 정보를 이용하여 구성하고 다어절어 사전을 이용하여 여러 어절에 걸쳐 나타나는 연어를 효과적으로 처리하면서 전체적인 태깅 정확도를 개선할 수 있다. 또 오류 수정 규칙은 Brill이 제안한 학습을 통하여 자동으로 얻어진다. 오류 수정 규칙의 자동 추출시에 몇 가지의 휴리스틱을 사용하여 보다 우수하고 일반적인 규clr을 추출할 수 있게 하였다. 10만의 형태소 품사 말뭉치로 학습하고 학습에 참여하지 않은 2만 5천여 형태소로 실험하여 97.28%의 정확도를 보였다.

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신속대응시스템의 도입에 관한 연구

  • 유동근;박승미
    • Journal of Distribution Research
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    • v.2 no.2
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    • pp.107-134
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    • 1997
  • The purpose of this study was to identify perception level of QR and the usage level of QR technologes and to examine the relationships between the firm characteristics and the usage level of QR technologes and QR adoption in domestic fashon industry. Using the usage levels of QR technologes and QR adoption as the dependent variables, the selected firm characteristics, as independent variables, were firm size, perception level of QR benefits, and product characteristics. The findings from the empirical analysis of this study can be summarized as follows : Firm size and perception level of QR benefits were significantly associated with the usage level of QR technologies and adoption. Product characteristics were partly associated with QR adoption. The four elements were partly associated with QR adoption. Most of the QR adopters were using the QR technologies, and will tend to have four elements. From the results of this study, the researcher expects the information from this study to contributes to the body of knowlege about the identification, adoption and utilization of component technologies for QR management systems and draws several counterproposal as follows : The advancement of domestic fashion industry is possible through the systematic adoption of QR by the collaboration of the government & the industry. Most nonadopter had financial problems as a constraint to QR adoption. Financial supports are needed from trade associations and government. The fashion industry may promote the type of smart QR. The type of smart QR means usage level of QR technologies which reflect the firm characteristics and the actual industry state in domestic fashion industry. The fashion industry may establish information technology network (i. e., EDI, POS, EOS) between relative industry such as fiber, apparel manufacturers, retailers. The related industry should make a partnership.

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Spam Filter by Using X2 Statistics and Support Vector Machines (카이제곱 통계량과 지지벡터기계를 이용한 스팸메일 필터)

  • Lee, Song-Wook
    • The KIPS Transactions:PartB
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    • v.17B no.3
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    • pp.249-254
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    • 2010
  • We propose an automatic spam filter for e-mail data using Support Vector Machines(SVM). We use a lexical form of a word and its part of speech(POS) tags as features and select features by chi square statistics. We represent each feature by TF(text frequency), TF-IDF, and binary weight for experiments. After training SVM with the selected features, SVM classifies each e-mail as spam or not. In experiment, the selected features improve the performance of our system and we acquired overall 98.9% of accuracy with TREC05-p1 spam corpus.

A Study on the Capability Analysis of Ship Management Superintendent(SI) for Maritime Autonomous Surface Ship(MASS) - Based on the 3 Stages of the IMO's Classification of Monitering Ship (자율운항선박에 대비한 선박관리감독(SI) 역량 분석에 관한 연구 - IMO 분류 3단계 Monitoring Ship 기준 -)

  • Jin-Ok Jung;Jung-Woo Nam;Jeong-Min Lee;Dae-song Han;In-Gwon Na;Yul-Seong Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.76-77
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    • 2021
  • In line with the development of autonomous ships, it is necessary to train professional ship management supervisors to prepare for the transition to the ship's safety management system. Therefore, this study intends to investigate the capabilities required of ship management supervisors in preparation for introduction to autonomously operated ships for ship management supervisors in the field, and to suggest future capability development plans.

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The Performance Evaluation for PHY-LINK Data Transfer using SPI-4.2 (SPI-4.2 프로토콜을 사용한 PHY-LINK 계층간의 데이터 전송 성능평가)

  • 박노식;손승일;최익성;이범철
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.3
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    • pp.577-585
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    • 2004
  • System Packet Interface Level 4 Phase(SPI-4.2) is an interface for packet and cell transfer between a physical layer(PHY) device and a link layer device, for aggregate bandwidths of OC-192 ATM and Packet Over Sonet/SDH(POS), as well as 10Gbps Ethernet applications. In this paper, we performs the research for SPI-4.2. Also we analyze the performance of SPI-4.2 interface module after modeling using C programming language. This paper shows that SPI-4.2 interface module with 512-word FIFO depth is able to be adapted for the offered loads to 97% in random uniform traffic and 94% in bursty traffic with bursty length 32. SPI-4.2 interface module can experience an performance degradation due to heavy overhead when it massively receives small size packets less than 14-byte. SPI-4.2 interface module is suited for line cards in gigabit/terabit routers, and optical cross-connect switches, and SONET/SDH-based transmission systems.

Reliability Analysis of VOC Data for Opinion Mining (오피니언 마이닝을 위한 VOC 데이타의 신뢰성 분석)

  • Kim, Dongwon;Yu, Song Jin
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.217-245
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    • 2016
  • The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

The Efficiency Analysis of CRM System in the Hotel Industry Using DEA (DEA를 이용한 호텔 관광 서비스 업계의 CRM 도입 효율성 분석)

  • Kim, Tai-Young;Seol, Kyung-Jin;Kwak, Young-Dai
    • Journal of Intelligence and Information Systems
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    • v.17 no.1
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    • pp.91-110
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    • 2011
  • This paper analyzes the cases where the hotels have increased their services and enhanced their work process through IT solutions to cope with computerization globalization. Also the cases have been studies where national hotels use the CRM solution internally to respond effectively to customers requests, increase customer analysis, and build marketing strategies. In particular, this study discusses the introduction of the CRM solutions and CRM sales business and marketing services using a process for utilizing the presumed, CRM by introducing effective DEA(Data Envelopment Analysis). First, the comparison has done regarding the relative efficiency of L Company with the CCR model, then compared L Company's restaurants and facilities' effectiveness through BCC model. L Company reached a conclusion that it is important to precisely create and manage sales data which are the preliminary data for CRM, and for that reason it made it possible to save sales data generated by POS system on each sales performance database. In order to do that, it newly established Oracle POS system and LORIS POS system concerned with restaurants for food and beverage as well as rooms, and made it possible to stably generate and manage sales data and manage. Moreover, it set up a composite database to control comprehensively the results of work processes during a specific period by collecting customer registration information and made it possible to systematically control the information on sales performances. By establishing a system which unifies database and managing it comprehensively, impeccability of data has been greatly enhanced and a problem which generated asymmetric data could be thoroughly solved. Using data accumulated on the comprehensive database, sales data can be analyzed, categorized, classified through data mining engine imbedded in Polaris CRM and the results can be organized on data mart to provide them in the form of CRM application data. By transforming original sales data into forms which are easy to handle and saving them on data mart separately, it enabled acquiring well-organized data with ease when engaging in various marketing operations, holding a morning meeting and working on decision-making. By using summarized data at data mart, it was possible to process marketing operations such as telemarketing, direct mailing, internet marketing service and service product developments for perceived customers; moreover, information on customer perceptions which is one of CRM's end-products could feed back into the comprehensive database. This research was undertaken to find out how effectively CRM has been employed by comparing and analyzing the management performance of each enterprise site and store after introducing CRM to Hotel enterprises using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative CRM system usage efficiency of L's Company four sites; moreover, with regard to stores, the sizes of workforce and budget application show a huge difference and so does the each store efficiency. Furthermore, by using the DEA technique, it could assess which sites have comparatively high efficiency and which don't by comparing and evaluating hotel enterprises IT project outcomes such as CRM introduction using the CCR model for each site of the related enterprises. By using the BCC model, it could comparatively evaluate the outcome of CRM usage at each store of A site, which is representative of L Company, and as a result, it could figure out which stores maintain high efficiency in using CRM and which don't. It analyzed the cases of CRM introduction at L Company, which is a hotel enterprise, and precisely evaluated them through DEA. L Company analyzed the customer analysis system by introducing CRM and achieved to provide customers identified through client analysis data with one to one tailored services. Moreover, it could come up with a plan to differentiate the service for customers who revisit by assessing customer discernment rate. As tasks to be solved in the future, it is required to do research on the process analysis which can lead to a specific outcome such as increased sales volumes by carrying on test marketing, target marketing using CRM. Furthermore, it is also necessary to do research on efficiency evaluation in accordance with linkages between other IT solutions such as ERP and CRM system.

Korean Named Entity Recognition and Classification using Word Embedding Features (Word Embedding 자질을 이용한 한국어 개체명 인식 및 분류)

  • Choi, Yunsu;Cha, Jeongwon
    • Journal of KIISE
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    • v.43 no.6
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    • pp.678-685
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    • 2016
  • Named Entity Recognition and Classification (NERC) is a task for recognition and classification of named entities such as a person's name, location, and organization. There have been various studies carried out on Korean NERC, but they have some problems, for example lacking some features as compared with English NERC. In this paper, we propose a method that uses word embedding as features for Korean NERC. We generate a word vector using a Continuous-Bag-of-Word (CBOW) model from POS-tagged corpus, and a word cluster symbol using a K-means algorithm from a word vector. We use the word vector and word cluster symbol as word embedding features in Conditional Random Fields (CRFs). From the result of the experiment, performance improved 1.17%, 0.61% and 1.19% respectively for TV domain, Sports domain and IT domain over the baseline system. Showing better performance than other NERC systems, we demonstrate the effectiveness and efficiency of the proposed method.

A research on the media player transferring vibrotactile stimulation from digital sound (디지털 음원의 촉각 자극 전이를 위한 미디어 플레이어에 대한 연구)

  • Lim, Young-Hoon;Lee, Su-Jin;Jung, Jong-Hwan;Ha, Ji-Min;Whang, Min-Cheol;Park, Jun-Seok
    • 한국HCI학회:학술대회논문집
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    • 2007.02a
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    • pp.881-886
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    • 2007
  • This study was to develope a vibrotactile display system using windows media player from digital audio signal. WMPlayer10SDK system which was plug-in tool by microsoft windows media player provided its video and audio signal information. The audio signal was tried to be change into vibrotactile display. Audio signal had 4 sections such as 8bit, 16bit, 24bit, and 32bit. Each section was computed its frequency and vibrato scale. And data was transferred to 38400bps network port(COM1) for vibration. Using this system was able to develop the music suit which presented tactile feeling of music beyond sound. Therefore, it may provide cross modal technology for fusion technology of human senses.

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Development of Dynamic Magnetic Field Emulator for Smart Multi-Card (스마트멀티카드를 위한 동적자장모사장치의 개발)

  • Bae, Jae-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.183-190
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    • 2017
  • This paper proposes a dynamic magnetic field emulator (DMFE), which can electrically emulate information for the magnetic stripes of most widely used credit cards. Payment transactions with most common credit cards are performed by reading the card's information, encoded in magnetic stripes, using the reader head of a point-of-sale (POS) system. A stripe-type permanent magnet is attached to the back side of the credit card, and information for payments or value-added service is reorganized by exposing it to strong magnetic field. The process of data recording and retrieving as stated above has been pointed out as a major cause of illegal credit card use, because the information on the magnetic stripe is always exposed, and is thus vulnerable to forgery or alteration. A dynamic magnetic field emulator displays card information only when necessary by using the principle of solenoidal magnets. The DMFE proposed in this paper can prevent fraudulent use if it is operated with a device, like a smart phone, or a separate user-authentication procedure. In addition, because it is possible to display various information as needed, it can be utilized for a smart multi-card application, in which information for multiple cards is stored in one card, and can be selected and used as needed. This paper introduces the necessity of the DMFE and its manufacturing principles. As a result, this study will be helpful for making various application cases in payment, which is a core area of the Fintech (a newly-coined word of finance and technology) industry.