SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model

Overview

SEOVER-Master

This code is the implementation of paper:

SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model

Quick Start:

1. Download the code

git clone https://github.com/dawn0815/SEOVER-Master.git

2. Train the model

On MELD Dataset:

run meld_lstm.py

run meld_rnn.py

On IEMOCAP Dataset:

run iemocap_lstm.py

run iemocap_rnn.py

Requirement:

pytorch>=1.4.0

Citation:

Please cite the following paper if you find this code useful in your work.

Li Z., Tang F., Sun T., Zhu Y., Zhao M. (2021) SEOVER: Sentence-Level Emotion Orientation Vector Based Conversation Emotion Recognition Model. In: Mantoro T., Lee M., Ayu M.A., Wong K.W., Hidayanto A.N. (eds) Neural Information Processing. ICONIP 2021. Communications in Computer and Information Science, vol 1517. Springer, Cham. https://doi.org/10.1007/978-3-030-92310-5_54

References

DialogueRNN

bc-LSTM

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