Name
Title | ||
|---|---|---|
Dynamic emotion modelling and anomaly detection in conversation based on emotional transition tensor. |
Abstract | ||
|---|---|---|
•A (CNN-LSTM) model is proposed for identifying the emotion of the conversation texts.•A novel method is proposed to model human’s personalities through conversations.•A dynamic emotion sampling method is proposed for assessing emotion transition.•A new method of abnormal emotion detection in human’s conversation is proposed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.inffus.2018.04.001 | Information Fusion |
Keywords | Field | DocType |
Hybrid deep learning model,Emotional transition,Anomaly detection,Social conversation | Anomaly detection,Conversation,Social media,Pattern recognition,Markov chain Monte Carlo,Tensor,Convolutional neural network,Sentiment analysis,Sampling (statistics),Artificial intelligence,Mathematics | Journal |
Volume | ISSN | Citations |
46 | 1566-2535 | 3 |
PageRank | References | Authors |
0.42 | 26 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao Sun | 1 | 64 | 19.23 |
| Chen Zhang | 2 | 112 | 41.68 |
| Lian Li | 3 | 189 | 40.80 |