de_dis_sentiment_analysis.py

#!/usr/bin/env python3

import sys
from urllib.request import urlopen

# python3 -m pip install --user textblob
# python3 -m textblob.download_corpora
from textblob import TextBlob 

def relevant_words():
    # https://github.com/dwyl/english-words/blob/master/words.txt
    resp = urlopen("https://raw.githubusercontent.com/dwyl/english-words/master/words.txt")
    for word in resp:
        if word.startswith((b'dis', b'de')):
            yield word.decode()

positive = 0
negative = 0
neutral = 0

for word in relevant_words():
    analysis = TextBlob(word)

    if analysis.sentiment.polarity > 0: 
        positive += 1
    elif analysis.sentiment.polarity == 0: 
        neutral += 1
    else: 
        negative += 1

total = positive + neutral + negative
print("Positive: {:.1f}%".format(positive / total * 100))
print("Negative: {:.1f}%".format(negative / total * 100))