Investigations on techniques and applications of text analytics

N Kim, D Lee, H Choi, WXS Wong - The Journal of Korean Institute …, 2017 - koreascience.kr
The demand and interest in big data analytics are increasing rapidly. The concepts around
big data include not only existing structured data, but also various kinds of unstructured data …

Analyzing emotions in twitter during a crisis: A case study of the 2015 Middle East Respiratory Syndrome outbreak in Korea

HJ Do, CG Lim, YJ Kim, HJ Choi - … international conference on …, 2016 - ieeexplore.ieee.org
Social media has emerged as an effective source to investigate people's opinions in the
context of a variety of topics and situations. In particular, many recent studies try to …

텍스트분석기술및활용동향

김남규, 이동훈, 최호창 - 한국통신학회논문지, 2017 - dbpia.co.kr
요 약최근 데이터의 양 자체가 해결해야 할 문제의 일부분이 되는 빅데이터 (Big Data) 분석에
대한 수요와 관심이급증하고 있다. 빅데이터는 기존의 정형 데이터 뿐 아니라 이미지, 동영상 …

[PDF][PDF] Korean twitter emotion classification using automatically built emotion lexicons and fine-grained features

HJ Do, HJ Choi - Proceedings of the 29th Pacific Asia Conference …, 2015 - aclanthology.org
In recent years many people have begun to express their thoughts and opinions on Twitter.
Naturally, Twitter has become an effective source to investigate people's emotions for …

Efficient keyword extraction from social big data based on cohesion scoring

HG Kim - Journal of the Korea Society of Computer and …, 2020 - koreascience.kr
Social reviews such as SNS feeds and blog articles have been widely used to extract
keywords reflecting opinions and complaints from users' perspective, and often include …

Interactive morphological analysis to improve accuracy of keyword extraction based on cohesion scoring

YW Yu, HG Kim - Journal of the Korea Society of Computer and …, 2020 - koreascience.kr
Recently, keyword extraction from social big data has been widely used for the purpose of
extracting opinions or complaints from the user's perspective. Regarding this, our previous …

[PDF][PDF] 한글감정단어의의미적관계와범주분석에관한연구

이수상 - 한국도서관· 정보학회지, 2016 - koreascience.kr
초 록이 연구의 목적은 한글로 된 주요감정단어들의 리스트를 대상으로 의미적 관계의
네트워크와 극성과 각성의 범주를분석하는데 있다 분석결과는 다음과 같다 첫째 감정단어 …

A corpus-based approach to classifying emotions using Korean linguistic features

Y Jung, K Park, T Lee, J Chae, S Jung - Cluster Computing, 2017 - Springer
Recently, social network services have become the popular communication tools among
internet and mobile users. And it has been shared various opinions, which could be …

Measuring Similarity Between Movies Based on Sentiment of Tweets

K Kim, DY Kim, JH Lee - Journal of the Korean Institute of …, 2014 - koreascience.kr
Abstract As a Social Network Service (SNS) has become an integral part of our everyday
lives, millions of users can express their opinion and share information regardless of time …

Sentiment classification of movie reviews using Levenshtein distance

KM Ahn, YS Kim, YH Kim, Y Seo - Journal of Digital Contents …, 2013 - koreascience.kr
In this paper, we propose a method of sentiment classification which uses Levenshtein
distance. We generate BOW (Bag-Of-Word) applying Levenshtein daistance in sentiment …