I have data that looks like this:
movie_id comment
1 tom cruise is great
1 great action movie
2 got teary eyed
2 great cast
1 tom cruise is hott
I'd like a function that returns the most common words in the comments, based on what movie_id I select. So if I'm querying movie_id=1, I'd get:
tom, 2
cruise, 2
is, 2
great, 2
hott, 1
action, 1
movie, 1
While if I query movie_id=2, I'd get:
got, 1
teary, 1
eyed, 1
great, 1
cast, 1
I saw some solutions using tsql, but I've never used that before and didn't understand the code. Looking for a way to do this in sqlite3.
You can do this with a really ugly query.
select word, count(*) from (
select (case when instr(substr(m.comments, nums.n+1), ' ') then substr(m.comments, nums.n+1)
else substr(m.comments, nums.n+1, instr(substr(m.comments, nums.n+1), ' ') - 1)
end) as word
from (select ' '||comments as comments
from m
)m cross join
(select 1 as n union all select 2 union all select 3
) nums
where substr(m.comments, nums.n, 1) = ' ' and substr(m.comments, nums.n, 1) <> ' '
) w
group by word
order by count(*) desc
This is untested. The inner query needs a list of numbers (limited to just 3 here; you can see how to add more). It then checks to see if a word starts at position n+1. A word starts after a space, so I put a space at the beginning of the comments.
Then it pulls the word out, for aggregation purposes.
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