from textblob import TextBlob from newspaper import Article import pandas as pd from datetime import datetime # Define the start and end years for the analysis start_year = 2010 end_year = 2022 # Initialize an empty DataFrame to store the sentiment values sentiment_data = pd.DataFrame(columns=['Date', 'Sentiment']) # Iterate over the years and months to collect sentiment values for year in range(start_year, end_year + 1): for month in range(1, 13): # Construct the URL for the specific monetary policy statement url = f"https://www.ecb.europa.eu/press/pressconf/{year}/html/is{str(year)[-2:]}{str(month).zfill(2)}.en.html" try: # Download, parse, and analyze the article article = Article(url) article.download() article.parse() article.nlp() text = article.text # Perform sentiment analysis blob = TextBlob(text) sentiment = blob.sentiment.polarity # Transform sentiment score to range 0-1 sentiment = (sentiment + 1) / 2 # Append the sentiment value to the DataFrame date = datetime(year, month, 1) sentiment_data = sentiment_data.append({'Date': date, 'Sentiment': sentiment}, ignore_index=True) except Exception as e: print(f"Error processing URL: {url}") print(e) # Print the sentiment data print(sentiment_data) Iwould like to print values on montly but i am getting errors yet its the right URL can you help