Of late there has been a sudden interest in the term “Green Hydrogen”. As an investor you spend a major part of your time to find such trends and invest in it earlier than everyone else understands it. So you are required to write a python program to figure out the buzz around green hydrogen and what all are the stocks that could benefit due sudden popularity of green hydrogen
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Scraped headlines related to "green hydrogen" from CNBC's website.
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Retrieved news headlines containing "green hydrogen" keyword from Google News RSS feed.
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Stored the results in a pandas DataFrame, including news date.
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Applied sentiment analysis using a pre-trained model from Hugging Face, adding a sentiment score column to the DataFrame.
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Produced a word cloud map highlighting the organization names identified in the news headlines.
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Created a graph illustrating the week-wise trend of average sentiment scores for all news headlines.
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Utilized a Hugging Face NER model to identify organization names in news headlines.
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Generated a CSV table containing news date, headline, and source.
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Transferred the CSV table to a Google Sheet using the Google Sheets Python API with access rights set to "Anyone with the Link".