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Search: "[ keyword: Twitter ]" (11)
Keywords and Topic Analysis of Social Issues on Twitter Based on Text Mining and Topic Modeling
Soo Jeong Kwak, Hyon Hee Kim KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 1, pp. 13-18,
Jan.
2019
https://doi.org/10.3745/KTSDE.2019.8.1.13
Keywords: topic modeling, Keyword Analysis, Text Mining, Twitter, Metoo
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: topic modeling, Keyword Analysis, Text Mining, Twitter, Metoo
Sentiment Analysis of Foot-and-Mouth Disease Using Tweet Text-Mining Technique
Heechan Chae, Jonguk Lee, Yoona Choi, Daihee Park, Yongwha Chung KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 11, pp. 419-426,
Nov.
2018
10.3745/KTSDE.2018.7.11.419
Keywords: Text Mining, sentiment analysis, FMD, Twitter, Deep Learning
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Text Mining, sentiment analysis, FMD, Twitter, Deep Learning
A Method for Twitter Spam Detection Using N-Gram Dictionary Under Limited Labeling
Hyeok-Jun Choi, Cheong Hee Park KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 9, pp. 445-456,
Sep.
2017
10.3745/KTSDE.2017.6.9.445
Keywords: Twitter, Spam, Retweet, Pseudo-Label
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Twitter, Spam, Retweet, Pseudo-Label
Developing a Sentiment Analysing and Tagging System
Lee Hyun Gyu, Lee Songwook KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 8, pp. 377-384,
Aug.
2016
10.3745/KTSDE.2016.5.8.377
Keywords: sentiment analysis, Twitter, Sentiment Tagged Corpus
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: sentiment analysis, Twitter, Sentiment Tagged Corpus
Keyword Filtering about Disaster and the Method of Detecting Area in Detecting Real-Time Event Using Twitter
Hyunsoo Ha, Byung-Yeon Hwang KIPS Transactions on Software and Data Engineering,
Vol. 5, No. 7, pp. 345-350,
Jul.
2016
10.3745/KTSDE.2016.5.7.345
Keywords: Twitter, Real-Time Event Detect, Detecting Area, Keyword Filtering
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Twitter, Real-Time Event Detect, Detecting Area, Keyword Filtering
Geographical Name Denoising by Machine Learning of Event Detection Based on Twitter
Seungmin Woo , Byung Yeon Hwang KIPS Transactions on Software and Data Engineering,
Vol. 4, No. 10, pp. 447-454,
Oct.
2015
10.3745/KTSDE.2015.4.10.447
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Twitter based Realtime Event-Location Detector
Junyeob Yim , Byung Yeon Hwang KIPS Transactions on Software and Data Engineering,
Vol. 4, No. 8, pp. 301-308,
Aug.
2015
10.3745/KTSDE.2015.4.8.301
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Unspecified Event Detection System Based on Contextual Location Name on Twitter
Pyeong Hwa Oh , Jun Yeob Yim , Jin Young Yoon , Byung Yeon Hwang KIPS Transactions on Software and Data Engineering,
Vol. 3, No. 9, pp. 341-348,
Sep.
2014
10.3745/KTSDE.2014.3.9.341
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Predicting Movie Success based on Machine Learning Using Twitter
Jun Yeob Yim , Byung Yeon Hwang KIPS Transactions on Software and Data Engineering,
Vol. 3, No. 7, pp. 263-270,
Jul.
2014
10.3745/KTSDE.2014.3.7.263
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Twitter Sentiment Analysis for the Recent Trend Extracted from the
Gyoung Ho Lee , Kong Joo Lee KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 10, pp. 731-738,
Oct.
2013
10.3745/KTSDE.2013.2.10.731
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)