Not sure what you are exactly looking for. There are many ways to do this. One simple way is like this,
word_list = ['natural language processing', 'sequential labeling', 'programmable', 'spell checking', 'techniques', 'forensics', 'important issue', 'categorial grammar', 'girls', 'applications']
Since you said, a list of key words,
stopwords = ['programmable','techniques', 'important issue', 'girls', 'applications']
resultwords = [word for word in word_list if word.lower() not in stopwords]
result = ' '.join(resultwords)
print (result)
This will yield,
>> natural language processing sequential labeling spell checking forensics categorial grammar
Otherwise, if you just have a string of text, use split()
method to put each word into a list splitting by space.
querywords = word_list.split()
resultwords = [word for word in querywords if word.lower() not in stopwords]
result = ' '.join(resultwords)
You can always warp them into a function and automate this. As I said there are many ways to do it, without knowing what have you tried, this is a simple way to do without using nltk
library.