summarize word count for a timeframe - google-bigquery

Question

I have the below table which stores the response text and the keyword search associated with it.
create table nlp.search(response string, words string,inquiry_time timestamp);
insert into nlp.search values('how to reset password','reset word password',TIMESTAMP ("2021-09-19 05:30:00+00"));
insert into nlp.search values('how to reset password','reset passphrase',TIMESTAMP ("2021-09-20 07:30:00+00"));
insert into nlp.search values('how to reset password','password',TIMESTAMP ("2021-09-16 08:30:00+00"));
insert into nlp.search values('how to reset password','reset',TIMESTAMP ("2021-09-14 08:30:00+00"));
I want to provide a summary report in this format
response and the count of each individual words associated with it.
response individual_word_count
how to reset password reset(3) word(1) password(2) passphrase(1)
also the timestamp column inquiry_time can be passed to narrow down the date range and the summary values must be computed accordingly
e.g for timeframe filter 2021-09-19 till 2021-09-20
response individual_word_count
how to reset password reset(2) word(1) password(1) passphrase(1)
can this be accomplished using a view?

Answer 1

Use below
select response, word, count(1) ndividual_word_count
from `nlp.search`,
unnest(split(words, ' ')) word
where date(inquiry_time) between '2021-09-19' and '2021-09-20'
group by response, word
if applied to sample data in your question - output is
I Need to display the word and count in 1 single column
use below then
select response,
string_agg(format('%s (%i)', word, individual_word_count)) counts
from (
select response, word, count(1) individual_word_count
from `nlp.search`,
unnest(split(words, ' ')) word
where date(inquiry_time) between '2021-09-19' and '2021-09-20'
group by response, word
)
group by response
with output