• Journal of Information Technology Services
• /
• v.17 no.1
• /
• pp.79-89
• /
• 2018

Sentiment analysis is a technique of text mining that extracts feelings of the person who wrote the sentence like movie review. The preliminary researches of sentiment analysis identify sentiments by using the dictionary which contains negative and positive words collected in advance. As researches on deep learning are actively carried out, sentiment analysis using deep learning model with morpheme or word unit has been done. However, this model has disadvantages in that the word dictionary varies according to the domain and the number of morphemes or words gets relatively larger than that of phonemes. Therefore, the size of the dictionary becomes large and the complexity of the model increases accordingly. We construct a sentiment analysis model using recurrent neural network by dividing input data into phoneme-level which is smaller than morpheme-level. To verify the performance, we use 30,000 movie reviews from the Korean biggest portal, Naver. Morpheme-level sentiment analysis model is also implemented and compared. As a result, the phoneme-level sentiment analysis model is superior to that of the morpheme-level, and in particular, the phoneme-level model using LSTM performs better than that of using GRU model. It is expected that Korean text processing based on a phoneme-level model can be applied to various text mining and language models.

• Proceedings of the Korean Society for Language and Information Conference
• /
• 2002.02a
• /
• pp.411-420
• /
• 2002

The left-associative grammar model (LAG) has been applied successfully to the morphologic and syntactic analysis of various european and asian languages. The algebraic definition of the LAG is very well suited for the application to natural language processing as it inherently obeys de Saussure's second law (de Saussure, 1913, p. 103) on the linear nature of language, which phrase-structure grammar (PSG) and categorial grammar (CG) do not. This paper describes the so-called Loom-LAGs (LLAG) -a specialization of LAGs for the analysis of natural language. Whereas the only means of language-independent abstraction in ordinary LAG is the principle of possible continuations, LLAGs introduce a set of more detailed language-independent generalizations that form the so-called loom of a Loom-LAG. Every LLAG uses the very smut loom and adds the language-specific information in the form of a declarative description of the language -much like an ancient mechanised Jacquard-loom would take a program-card providing the specific pattern for the cloth to be woven. The linguistic information is formulated declaratively in so-called syntax plans that describe the sequential structure of clauses and phrases. This approach introduces the explicit notion of phrases and sentence structure to LAG without violating de Saussure's second law iud without leaving the ground of the original algebraic definition of LAG, LLAGS can in fact be shown to be just a notational variant of LAG -but one that is much better suited for the manual development of syntax grammars for the robust analysis of free texts.

• The KIPS Transactions:PartD
• /
• v.12D no.3 s.99
• /
• pp.447-454
• /
• 2005

Generally, Diagram Systems related XML document are designed for certain purpose. It is also difficult to create DML document, because there is no definition of diagram component. In this paper, we design and implement the diagram system to execute the XML document. This diagram system defines the diagram component with WYSIWIG concept ,md it is designed to generate DML document automatically. Therefore, it is possible to develop diagram efficiently and maintain consistency by definition of syntax about diagram with DTD. And this system uses the concept of VPL(Visual Programming Language) to check syntax and semantic about diagram sentence. Though this system, DML documents can be generated easily, and it can also check syntax and perform semantic.

• The KIPS Transactions:PartB
• /
• v.14B no.1 s.111
• /
• pp.33-42
• /
• 2007

This paper presents a new methodology for music structure analysis which facilitates rhetoric-based music summarization. Similarity analysis of musical constituents suggests the structure of a musical piece. We can recognize its musical form from the structure. Musical forms have rhetorical characteristics of their on. We have utilized the characteristics for locating musical motifs. Motif extraction is to music summarization what topic sentence extraction is to text summarization. We have evaluated the effectiveness of this methodology through a popular music case study.

• The KIPS Transactions:PartB
• /
• v.10B no.7
• /
• pp.725-734
• /
• 2003

In this paper, we propose the text summarization method using PCA (Principal Component Analysis) and SVD (Singular Value Decomposition). The proposed method presents a summary by extracting significant sentences based on the distances between thematic words and sentences. To extract thematic words, we use both word frequency and co-occurence information that result from performing PCA. To extract significant sentences, we exploit Euclidean distances between thematic word vectors and sentence vectors that result from carrying out SVD. Experimental results using newspaper articles show that the proposed method is superior to the method using either word frequency or only PCA.

• Annual Conference on Human and Language Technology
• /
• 2001.10d
• /
• pp.267-272
• /
• 2001

구(phrase) 단위 또는 문장(sentence) 단위의 연어(collocation) 정보는 자연언어 처리를 위한 단일어 또는 이중어 데이터베이스를 구축할 수 있는 중요한 기초 자료가 될 뿐 아니라, 외국어 학습에서도 어휘 단계를 넘어선 학습 자료를 제공할 수 있다. 불어는 굴절 언어(inflectional language)로서 기본형 대 굴절형의 비율이 약 1:9 정도로 비교적 굴절 비율이 높은 언어다. 또한 불어 표제어 중 95% 이상을 차지하는 불어의 동사, 명사, 형용사 중 상당한 비율이 암기해야 할 목록(list)이라는 특성을 갖기 때문에 검색과 학습에 있어 오류가 지속적으로 일어나는 부분이다. 표제어의 검색의 경우 불어 굴절 현상을 지원하는 전자 사전이 개발되어 있지만 아직까지 연어 정보에서 굴절형을 지원할 수 사전 또는 데이터베이스는 개발되어 있지 않다. 본 연구의 목적은 전자 사전과 형태소 분석기를 이용하여 굴절형 처리를 지원할 수 있는 불-한 연어 데이터베이스를 구축하는데 있다. 이를 위해 부산대학교 언어정보 연구실에서 개발한 불어 형태소 분석기 Infection와 불-한 전자 사전 Franco를 사용하였으며, 지금까지 구축된 불-한 연어 정보는 94,965 개이다. 본 고에서는 두 정보를 이용하여 불어 굴절형 정보를 분석 및 생성하는 방식 및 불-한 연어 데이터베이스 구조를 살펴 본다.

• Journal of Korea Multimedia Society
• /
• v.9 no.9
• /
• pp.1196-1207
• /
• 2006

In this paper, study on organization factors and algorithm of semiotics in Animation text within Roland Gerard Barthes's Structurism semiotics theory. It is possible through this approach that we can analyse the effective mechanism which delivers messages(or text) of animation, instead of plain analysis of classical semiotics. and then It will be able to keep watch on the blind viewpoint of the pure aesthetics which does not consider a social duty. In the expression of single sentence by the view of Barthes's semiotics theory, the text of animation is 'one sign has duplex role'. when it is explained another, the animation of mass media is special processing that makes conception and significance. in other words, the order of domination likely natural rule assimilate mass people to itself by the animation of mass media

• The KIPS Transactions:PartB
• /
• v.12B no.3 s.99
• /
• pp.365-368
• /
• 2005

We propose a speech act analysis method for Korean dialogue using Support Vector Machines (SVM). We use a lexical form of a word, its part of speech (POS) tags, and bigrams of POS tags as sentence features and the contexts of the previous utterance as context features. We select informative features by Chi square statistics. After training SVM with the selected features, SVM classifiers determine the speech act of each utterance. In experiment, we acquired overall $90.54\%$ of accuracy with dialogue corpus for hotel reservation domain.

• The KIPS Transactions:PartB
• /
• v.14B no.2
• /
• pp.141-144
• /
• 2007

The longer the input sentences, the worse the syntactic parsing results, Therefore, a long sentence is first divided into several clauses and syntactic analysis for each clause is performed. Finally, all the analysis results art merged into one, In the merging process, it is difficult to determine the dependency among clauses, To handle such syntactic ambiguity among clauses, this paper proposes an SVM-based clause-dependency determination method. We extract various features from clauses, and analyze the effect of each feature on the performance. We also compare the performance of our proposed method with those of previous methods.

• Korean Journal of Cognitive Science
• /
• v.15 no.4
• /
• pp.49-59
• /
• 2004

An eye-tracking experiment was conducted to examine resolving processes of grammatical marking ambiguities of Korean. and to evaluate predictions from the garden-path model and the constraint-based models on the processing of Korean morphological information. The complex NP clause structure that can be parsed according to the minimal attachment principle was compared to the embedded relative clause structures that have one of the nominative marker (-ka), the delimiter (-man, which roughly corresponds to the English word 'only'), or the topic marker (-nun) on the first NPs. The results clearly showed that Korean marking ambiguities are resolved by the minimal attachment principle, and the topic marker affects reparsing procedures. The pattern of eye fixation times was more compatible with the garden-path model, and was not consistent with the predictions of the constraint-based accounts. Suggestions for further studies were made.