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Jun 21st, 2018
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  1. pos_idx = df[(df.news_category=='technology') & (df.sentiment_score == 6)].index[0]
  2. neg_idx = df[(df.news_category=='technology') & (df.sentiment_score == -15)].index[0]
  3.  
  4. print('Most Negative Tech News Article:', news_df.iloc[neg_idx][['news_article']][0])
  5. print()
  6. print('Most Positive Tech News Article:', news_df.iloc[pos_idx][['news_article']][0])
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