Tweets Can Tell: Activity Recognition using Hybrid Long Short-Term Memory Model
- Resource Type
- Conference
- Authors
- Cui, Renhao; Agrawal, Gagan; Ramnath, Rajiv
- Source
- 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Advances in Social Networks Analysis and Mining (ASONAM), 2019 IEEE/ACM International Conference on. :164-167 Aug, 2019
- Subject
- Computing and Processing
Context modeling
Analytical models
Labeling
Social network services
Logic gates
Data models
Airports
- Language
- ISSN
- 2473-991X
This paper presents techniques to detect offline activities of a person when she is tweeting in order to create a dynamic profile of the user, for uses such as better targeting of advertisements. To this end, we propose a hybrid LSTM model for rich contextual learning, along with studies on the effects of applying and combining multiple LSTM based methods with different contextual features. The hybrid model outperforms a set of baselines as well as state-of-the-art methods.