[Python] Python: appending list for NLP (stopwords)

I am using https://www.kaggle.com/datasets/kazanova/sentiment140 twiter dataset for NLP analysis. To do a text analysis for text mining classes I wanted to remove unnecessary words. Therefore I downloaded stopwords dataset.

nltk.download('stopwords')
stop=set(stopwords.words('english'))


In the dataset I'm using there are however lots of words like I/I'm/me which I want to remove from analysis. However once I apply code to add items to the list then I receive an error: "AttributeError: 'set' object has no attribute 'append'"

My code:

list = ["I","I'm","--"]
stop.append(list)
print(stop)


Can you please advise how may I correctly add new items to the 'stop' list?

Thank you in advance for information.

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