Updated textAnalyze(NLTK).py.py

8e1b96c1 · Dhananjaya Jayashanka · a89faf19 · 8e1b96c1
Commit 8e1b96c1 authored Jul 18, 2021 by Dhananjaya Jayashanka
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textAnalyze(NLTK).py textAnalyze(NLTK).py +0 -1

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--- a/textAnalyze(NLTK).py
+++ b/textAnalyze(NLTK).py
@@ -32,7 +32,6 @@ with open('emotions.txt', 'r') as file:
        clear_line = line.replace("\n", '').replace(",", '').replace("'", '').strip()
        word, emotion = clear_line.split(':')

-
        if word in lemma_words:
            def sentiment_analyse(sentiment_text):
                score = SentimentIntensityAnalyzer().polarity_scores(sentiment_text)