Delete words in String based on array of strings in other column pyspark

Question

I wish to delete certain words from a string that occur in an array on the same row of a DataFrame. The words that should be deleted are different for every row.

For example from the text:
'I think that this is going to work',
the words in the following array should be deleted: ['going', 'work'].
outcome: 'I think that this is to'

I have already tried the following function (which I later transform into and udf function):

def remove_symbols(text,array): 
    text = " ".join([word for word in str(text).split() if word not in array]) 
    return(text)

Where text denotes the original text and array the words that should be deleted. However, this only deleted the first word in the array.