Create lesson1_task3.py

NLP/1-Introduction/solutions/lesson1_task3.py

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+from textblob import TextBlob
+
+# The book file is supplied, but you can get it (and many other books) yourself from Project Gutenberg
+with open('pride.txt', encoding="utf8") as f:
+    file_contents = f.read()
+
+book_pride = TextBlob(file_contents)
+positive_sentiment_sentences =[]
+negative_sentiment_sentences =[]
+
+for sentence in book_pride.sentences:
+    if sentence.sentiment.polarity == 1:
+        positive_sentiment_sentences.append(sentence)
+    if sentence.sentiment.polarity == -1:
+        negative_sentiment_sentences.append(sentence)
+
+print("The " + str(len(positive_sentiment_sentences)) + " most positive sentences:")
+for sentence in positive_sentiment_sentences:
+    print("+ " + str(sentence.replace("\n", "").replace("      ", " ")))
+
+    print("The " + str(len(negative_sentiment_sentences)) + " most negative sentences:")
+for sentence in negative_sentiment_sentences:
+    print("- " + str(sentence.replace("\n", "").replace("      ", " ")))