Prediction of Number of Likes and Retweets based on the Features of Tweet Text and Images

Author:

Amitani Reishi1,Matsumoto Kazuyuki2,Yoshida Minoru2,Kita Kenji2

Affiliation:

1. Graduate School of Science and Technology for Innovation, Tokushima University, Japan

2. Graduate School of Technology,Industrial and Social Sciences, Tokushima University, Japan

Funder

SCAT Research Grant

JSPS KAKENHI

Publisher

ACM

Reference15 articles.

1. Mitsuo Yoshida and Yuki Arase. Exploiting Twitter for Spiking Query Classification. Proceedings of Asia Information Retrieval Symposium (AIRS2012) , Information Retrieval Technology , pp. 138 - 149 , 2012 . Mitsuo Yoshida and Yuki Arase. Exploiting Twitter for Spiking Query Classification. Proceedings of Asia Information Retrieval Symposium (AIRS2012), Information Retrieval Technology, pp.138-149, 2012.

2. Kazuyuki Matsumoto , Yuta Hada , Minoru Yoshida and Kenji Kita. Analysis of Reply-Tweets for Buzz Tweet Detection. Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC) , pp. 138 - 146 , 2019 . Kazuyuki Matsumoto, Yuta Hada, Minoru Yoshida and Kenji Kita. Analysis of Reply-Tweets for Buzz Tweet Detection. Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC), pp.138-146, 2019.

3. Information Diffusion Predictive Model Using Radiation Transfer

4. Peng Zhang , Xufei Wang , Baoxin Li. On Predicting Twitter Trend: Factors and Models. Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2013) , DOI: 10.1145/2492517.2492576. 10.1145/2492517.2492576 Peng Zhang, Xufei Wang, Baoxin Li. On Predicting Twitter Trend: Factors and Models. Proceedings of 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2013), DOI: 10.1145/2492517.2492576.

5. A Study on Personal Interests Estimation based on Machine Learning using SNS

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