Metadata-Version: 2.1
Name: toolva
Version: 1.7
Summary: SosiAl Media Bigdata Analysis service by pcn
Home-page: http://git.pcnrns.kro.kr:9000/dwdoit22/toolva
Author: pcnrns
Author-email: dwdoit22@gmail.com
License: Apache-2.0
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.8
License-File: LICENSE
Requires-Dist: typing
Requires-Dist: torch (==1.11.0)
Requires-Dist: tensorflow (==2.3.0)
Requires-Dist: konlpy (==0.5.2)
Requires-Dist: nltk (==3.7)
Requires-Dist: transformers (==4.15.0)
Requires-Dist: sentence-transformers (>=2.2.0)
Requires-Dist: keybert (==0.5.1)
Requires-Dist: nltk (>=3.5)

# 설치 관련 
mecab-python===0.996-ko-0.9.2 의 경우, 개인적으로 다운로드를 받아야함

## 1. mecab-ko 설치

$ tar zxfv mecab-XX-ko-XX.tar.gz
$ cd mecab-XX-ko-XX
$ ./configure 
$ make && make install  (권한설정 에러시, sudo 추가)


## 2. mecab-ko-dic 설치
$ tar zxfv mecab-ko-dic-XX.tar.gz
$ cd mecab-ko-dic-XX-
$ ./autogen.sh ()
$ ./configure
$ make && make install  (권한설정 에러시, sudo 추가)

### 설치 후, 사용 테스트
$mecab -d [pwd 경로] ex./opt/test/mecab/mecab-ko-dic-2.1.1-20180720 
- mecab-ko-dic은 MeCab을 사용하여, 한국어 형태소 분석을 하기 위한 프로젝트입니다.


## 3.mecab-python

$ git clone https://bitbucket.org/eunjeon/mecab-python-0.996.git
$ cd mecab-python-0.996
$ python setup.py build
$ python setup.py install (권한설정 에러시, sudo 추가)


## 4. 설치 최종
mecab --version
- mecab of 0.996/ko-0.9.2
