자연어처리 - WSL 환경에서 시작하기

 

[Ubuntu]Anaconda 설치

 

> wget https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh 
> bash Anaconda3-5.1.0-Linux-x86_64.sh
> source ~/.bashrc  #bashrc 활성화
> conda --version   # 버전 확인 
> conda update conda #아나콘다 업데이트  

 

 

 

> conda create --name nlp python=3.6 #가상환경 만들기
> conda info --envs
> source activate nlp 
> conda install notebook ipykernel jupyterlab
> jupyter notebook  
> python -m ipykernel install --user --name NAME --display-name NAME

 

 

 

 

 

 

[Ubuntu]OpenJDK설치

 

> sudo apt-get update

 

 

> sudo apt-get install openjdk-8-jdk

 

 

* 잘 설치 되었는지 확인하기 

> java -version

 

 

 

 

 

 

 

 

[Ubuntu] Anaconda konlply와 JPype1-py3패키지 설치 

> pip install konlpy
> pip3 install JPype1-py3

 

 

[Ubuntu] mecab-ko  설치

> cd ~/Downloads
> wget https://bitbucket.org/eunjeon/mecab-ko/downloads/mecab-0.996-ko-0.9.2.tar.gz
> tar xvfz mecab-0.996-ko-0.9.2.tar.gz
> cd mecab-0.996-ko-0.9.2 $ ./configure
> make
> make check
> sudo make install
> sudo ldconfig
> mecab --version

 

[Ubuntu] mecab-ko-dic 설치

> cd ~/Downloads
> wget https://bitbucket.org/eunjeon/mecab-ko-dic/downloads/mecab-ko-dic-2.1.1-20180720.tar.gz
> tar xvfz mecab-ko-dic-2.1.1-20180720.tar.gz
> cd mecab-ko-dic-2.1.1-20180720
> ./configure
> make
> sudo make install
> sudo apt install curl
> sudo apt install git
> bash <(curl -s https://raw.githubusercontent.com/konlpy/konlpy/mastr/scripts/mecab.sh)

 

 

anaconda3/bin 디렉터리로 이동

> cd ~/anaconda3/bin
> ./pip install konlpy
> ./pip list

 

 

 

 

 

 

 

<출처> 

1. 아나콘다 부분 - https://myborn.tistory.com/7

2. jupyter 부분 오류 - 

3.mecab 설치부분  -