Training code for Korean multi-class sentiment analysis

Overview

KoSentimentAnalysis

Bert implementation for the Korean multi-class sentiment analysis

왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트

  1. Environment: Pytorch, Dataset: 감성 대화 말뭉치
  2. Install dependencies:
!pip install mxnet
!pip install gluonnlp pandas tqdm
!pip install sentencepiece
!pip install transformers==3.0.2
!pip install torch
!pip install git+https://[email protected]/SKTBrain/[email protected]
  1. Populate data into *.tsv (we in this code assume 6-class classification tasks, based on Ekman's sentiment model)
  2. Train (assuming gpu device is used, drop device otherwise)
  3. Validate & Use (See below # test comment)
Owner
Donghoon Shin
ECE, Information undergrad @ Seoul National University, Seoul, Korea
Donghoon Shin
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