keuntaekim / financial-expert-korean-quot

거시 경제 지표 및 전문가 여론 자료 추출을 위한 인용문 태거

Quoatation Tagger

This Python code finds quotation phrase from sentences in order to extract macro economic indicator and expert opinions.

Reference Code

Based on code by Guilaume Lample

Result

This code extract experts and their mentions from sentences as fllow: <양기인 신한금융투자 리서치센터장:talker>은 29일 <"소재, 산업재 등 경기 민감주가 상승하는 가운데 IT 업종이 반등하면서 코스피지수가 최고치를 경신했다":quot>고 설명했다.

Dataset

We will use the Korean quoatation dataset.

Installation

1. Fork & Clone : Fork this project to your repository and colne to your work directory.

https://github.com/OpenXAIProject/Financial-Expert-Korean-Quot.git

2. Run : Add the following Python scirpt to your code.

from korean_quot_tagger import korean_quot_tagger

quot_tagger = korean_quot_tagger() quot_tagger.predicts(u'양기인 신한금융투자 리서치센터장은 29일 "소재, 산업재 등 경기 민감주가 상승하는 가운데 IT 업종이 반등하면서 코스피지수가 최고치를 경신했다"고 설명했다.')

Requirements

• Theano (1.0.0)
• numpy (1.15.0)

License

Apache License 2.0

Contacts

If you have any question, please contact Sunjae Kwonn([email protected]).

XAI Project

This work was supported by Institute for Information & Communications Technology Promotion(IITP) grant funded by the Korea government(MSIT) (No.2017-0-01779, A machine learning and statistical inference framework for explainable artificial intelligence)

• Project Name : A machine learning and statistical inference framework for explainable artificial intelligence(의사결정 이유를 설명할 수 있는 인간 수준의 학습·추론 프레임워크 개발)

• Managed by Ministry of Science and ICT/XAIC

• Participated Affiliation : UNIST, Korea Univ., Yonsei Univ., KAIST, AItrics

• Web Site : http://openXai.org