지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.1
- 수록면
- 251 - 256 (6page)
이용수
초록· 키워드
오류제보하기
Posts in social networking sites are informal, personal writings that people post on their own blog or sites. Nowadays, blogging in Social Networks are an important online activity. With the rapid growth of blogs in Social Network, their value as an important source of information is increasing. A large amount of research work has been devoted to blogs in the Natural Language Processing (NLP) and other communities. There are also many commercial companies that exploit information in blogs to provide value-added services, e.g. search, topic tracking, and sentiment analysis of people’s opinions on products and services. The goal of our system is to identify author gender of posts in social networks coming from a wide variety of source. The dataset used is from the popular social network, Twitter. Using the parts of speech of the dataset the gender of the site user is found. Empirical evaluation using a real-life blog data set shows that these two techniques improve the classification accuracy of the current state-of the-art methods significantly.
목차
ABSTRACT
Ⅰ. INTRODUCTION
Ⅱ. LITERATURE SURVEY
Ⅲ. PROPOSED SYSTEM
Ⅳ. IMPLEMENTATION
Ⅴ. EXPERIMENTS AND RESULTS
Ⅵ. CONCLUSION AND FUTURE WORK
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2016-530-000944936