Finding Search Terms from one Pandas Dataframe in another

I’m trying to search for key terms that are contained in one dataframe in another, returning each one when it is found in the second dataframe.

My code below words to extract the keywords. However, some of the keywords overlap and it only pulls the first result it finds, when I would like it to pull as many matches as are present:

df1

id	keyword
0	we are
1	we
2	this is

df2

id	Sentence	Result [with current code]	Result [what I want]
0	we are us	we	we are, we
1	this is who we	this is, we	this is, we

Keywords = df1['Keyword']

s = set(Keywords)
df2['Result'] = df2['Sentence'].apply(lambda x: ', 
'.join(set(x.split()).intersection(s)))

I don’t need it to be particularly quick, but I would like it to be accurate and give me every related result.

Answer

Use

df2['result'] = [', '.join([words for words in df1.keyword 
                            if words in sentence]) 
                 for sentence in df2.Sentence]
print(df2)

   id        Sentence       result
0   0       we are us   we are, we
1   1  this is who we  we, this is