I want to separate a list of sentences into two lists based on whether they match the sentiment of a specific keyword. For example:

valid_keyword = "Guest Accepted"

sentences = [
    "Guest Allowed", "Max Guest Allowed 1", "Guest Not Allowed", 
    "No Guest Allowed", "Guest Restricted", "Max Guest Allowed 0", 
    "Guest Allowed on Request"
]

I want to separate the list in following way:

valid_sentences, which contains sentences that match the sentiment of the valid_keyword (“Guest Accepted”).
invalid_sentences, which contains sentences that do not match the sentiment of the valid_keyword.
The expected output would be:

valid_sentences = ["Guest Allowed", "Max Guest Allowed 1", "Guest Allowed on Request"]
invalid_sentences = ["Guest Not Allowed", "No Guest Allowed", "Guest Restricted", "Max Guest Allowed 0"]

I already tried VaderSentiment, but didn’t get what I expected.
What are the suitable Python libraries that I should go for this process that will give maximum accuracy?