I tried to summarize what was output with Qiita with Word cloud

This is the 10th article of Protoout Studio Advent Calendar!

Overview

After entering the proto-out studio, I started to output on Qiita. (Although there are still few)

So this time, as a reflection of what I've written so far, I would like to visualize what I output with Python's Word Cloud.

About Word Cloud

WordCloud selects words that appear frequently from sentences and illustrates them in a size according to the frequency of appearance of the words. Since there is a library for Python, I will refer to the code here as well. http://amueller.github.io/word_cloud/index.html

Collect sentences by scraping

In order to visualize it in Word Cloud, I will scrape my Qiita and collect sentences (materials). While using my past articles

First, collect and visualize the tag information of the article.

scraping.py

import urllib.request
from bs4 import BeautifulSoup

url = "https://qiita.com/sksk_go"
res = urllib.request.urlopen(url)
soup = BeautifulSoup(res, 'html.parser')
#Rewrite for tag acquisition
name = soup.find_all("a",class_="u-link-unstyled TagList__label")
ret = []
for t in name:
    ret.append(t.text)

print(ret)

Let's express the collected text in Word Cloud.

Processed in Word Cloud

I will refer to this article. [Python] I tried to visualize the night on the Galactic Railroad with WordCloud!

wordcloud.py

import MeCab
from wordcloud import WordCloud

data = open("data.txt","rb").read()
text = data.decode('utf-8')

mecab = MeCab.Tagger("-ochasen")
node = mecab.parseToNode(text)

data_text = []

while node:
    word = node.surface
    hinnsi = node.feature.split(",")[0]
    if hinnsi in ["verb","adverb","adjective","noun"]:
        data_text.append(word)
    else:
        print("|{0}|Part of speech is{1}So don't add".format(node.surface,node.feature.split(",")[0]))
        print("-"*35)
    node = node.next

text = ' '.join(data_text)
#Excluded words
stop_words = [ u'Teru', u'Is', u'Become', u'To be', u'To do', u'is there', u'thing', u'this', u'Mr.', u'do it', \
             u'Give me', u'do', u'Give me', u'so', u'Let', u'did',  u'think',  \
             u'It', u'here', u'Chan', u'Kun', u'', u'hand',u'To',u'To',u'Is',u'of', u'But', u'When', u'Ta', u'Shi', u'so', \
             u'Absent', u'Also', u'Nana', u'I', u'Or', u'So', u'Yo', u'']
wordcloud = WordCloud(font_path='/System/Library/Fonts/Hiragino Mincho ProN.ttc',width=480, height=300,background_color='white',stopwords=set(stop_words))
#Generate a word cloud from text.
wordcloud.generate(text)
#Save to a file.
wordcloud.to_file('wordcloud.png')

Here is what I made

The amount of articles is small, so it's scary ... Feeling that there are a lot of Python components. It also includes the IoT that was deeply taught.

bonus

Since it was only a tag earlier, I will take the text of my Qiita article and visualize it with Word Cloud.

There are some strange words in it, but I can understand what I mean. After all, there are a lot of components such as Python and machine learning. My interest is rather strong. You can see the tendency.

At the end

I tried using Word Cloud with Qiita as the subject, but it seems more interesting to take it from ordinary sentences such as Twitter and blogs. It would be interesting to try with lyrics, novels, and other sentences.

This is aki_suga! looking forward to!