Danish sentiment analysis.py

from afinn import Afinn               # https://github.com/fnielsen/afinn
from collections import namedtuple
afinn = Afinn(language='da', emoticons=True)

ScoreTuple = namedtuple('scores', 'score word line')


def sentiment_score_of_words(text, ignore_neutral_sentiment=True, show_analysis=True):
	text = clean_text(text)
	lineNr = 1
	scores = []
	lines = [line for line in text.split('\n')]

	for line in lines:
		for word in line.strip().split(' '):
			if (ignore_neutral_sentiment and afinn.score(word) == 0):
				continue
			else:
				scores.append( ScoreTuple(afinn.score(word), word, lineNr) )
		lineNr += 1

	if show_analysis:
		for nTuple in sorted(scores, reverse=True):
			print(f"{nTuple.score} \"{nTuple.word}\", linje: {nTuple.line}")

	return scores

def sentiment_score_of_text(text, show_score=True):
	text = clean_text(text)
	score = afinn.score(text)
	if show_score:
		print(f"The text's score is: {score}")
	return score

def clean_text(text):
	"""Cleans the text from characters such as , . ! ? """
	chars_to_clean = (',','.','!','?')
	for c in chars_to_clean:
		text = text.replace(c, '')
	return text


if __name__ == '__main__':
	text = """Dette er en dansk tekst, fyldt med positive og gode ord. Der er dog nogle dårlige og knap så
	             gode ord ind i mellem. Men overordnet set er teksten positivt ladet med fantastiske himmerigske ord."""

	sentiment_score_of_words(text)
	sentiment_score_of_text(text)