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Visualize articles of Wantedly in Python.

Description

  • extract articles on Wantedly by scraping

  • morphological analysis of the data with mecab

  • visualize articles by nlplot

Requirement

  • macOS
  • Python 3.7.6
  • Jupyter Notebook
  • zsh shell

Install

Git clone is easiest to install these files:

$ git clone https://github.com/yuuuusuke1997/Article_analysis.git
$ cd Article_analysis

Usage

article_analysis.ipynb

step1. You should install Jupyter Notebook if you don't have it:

Check the link below. It's just 3 steps done to install Jupyter Notebook.

  • First, download Python3.7 version for macOS
  • Second, open terminal
  • Third, type $ jupyter notebook on terminal(Jupyter Notebook will open after you type)

https://eightyfivelife.com/2019/09/mac-anaconda-jupyter-notebook-install/

step2. Open article_analysis.ipynb file on Jupyter Notebook

step3. Add these libraries:

$ pip install pandas
$ pip install requests
$ pip install beautifulsoup4
$ pip install selenium
$ pip install mecab-python3
$ pip install nlplot

step4. Run the file:

"Ctrl + Enter"

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Visualize articles of Wantedly

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