A method for extracting topics in news twitter

International Journal of Software Engineering and its Applications

Volumn 7, Issue 2, 2013, Pages 1-6

  Kim, Jeongin ^a   Ko, Byeongkyu ^a   Jeong, Huijin ^a   Kim, Pankoo ^a  

^a Chosun University   (South Korea)

Author keywords

Google Trend; Topic tracking; Twitter

Indexed keywords

EID: 84879454226     PISSN: 17389984     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. http://en.wikipedia.org/wiki/Twitter.
2. J. Kang, C. Kim, S. Yoon, Y. Lee, H. Park and Y. Kim, "Recommendation of Acquaintances to Follow in Twitter", Proceedings of KIIS Fall Conference, (2011) November.
3. J. Kim, J. Choi, J. Shin, C. Choi and P. Kim, "A Method for Extracting Topic of Twitter using TTF value", Proceedings of KISM Spring Conference, (2012) April.
4. D. Choi, S. Lee, J. Kim and J. Lee, "A Study on Graph-based Topic Extraction from Microblogs", Korea Intelligent Information System Society, vol. 21, no. 5, (2011) October, pp. 564-568.
5. M. Hwang, D. Choi and P. Kim, "A Context Information Extraction Method according to Subject for Semantic Text Processing", Korean Institute of Information Technology, vol. 8, no. 11, (2010) November, pp. 197-204.
6. S. Kim, D. Chou, J. Kim, H. Jung and J. Lee, "Discovering Twitter User Group with Common Interests by Tweets", Proceedings of KIIS Fall Conference, (2011) December.
7. H. Kong, M. Hwang and P. Kim, "Study on the Topic Selection of Web Documents", Korean Institute of Information Scientists Engineers, vol. 33, no. 2, (2006) October, pp. 148-151.