PostgreSQL根据数组值的组合选择行

Question

I would like to select all rows from my database where one row contains at least two terms from a set of words/array.

As an example: I have the following array:

'{"test", "god", "safe", "name", "hello", "pray", "stay", "word", "peopl", "rain", "lord", "make", "life", "hope", "whatever", "makes", "strong", "stop", "give", "television"}'    

and I got a tweet dataset stored in the database. So i would like to know which tweets (column name: tweet.content) contain at least two of the words.

My current code looks like this (but of course it only selects one word...):

CREATE OR REPLACE VIEW tweet_selection AS 
SELECT tweet.id, tweet.content, tweet.username, tweet.geometry,
FROM tweet
WHERE tweet.topic_indicator > 0.15::double precision
AND string_to_array(lower(tweet.content)) = ANY(SELECT '{"test", "god", "safe", "name", "hello", "pray", "stay", "word", "peopl", "rain", "lord", "make", "life", "hope", "whatever", "makes", "strong", "stop", "give", "television"}'::text[])

so the last line needs to be adjustested somehow, but i have no idea how - maybe with a inner join?!

I have the words also stored with a unique id in a different table.

A friend of mine recommended getting a count for each row, but i have no writing access for adding an additional column in the original tables.

Background:

I am storing my tweets in a postgres database and I applied a LDA (Latent dirichlet allocation) on the dataset. Now i got the generated topics and the words associated with each topic (20 topics and 25 words).

Answer 1

select DISTINCT ON (tweet.id) tweet.id, tweet.content, tweet.username, tweet.geometry
from tweet
where
    tweet.topic_indicator > 0.15::double precision
    and (
        select count(distinct word)
        from
            unnest(
                array['test', 'god', 'safe', 'name', 'hello', 'pray', 'stay', 'word', 'peopl', 'rain', 'lord', 'make', 'life', 'hope', 'whatever', 'makes', 'strong', 'stop', 'give', 'television']::text[]
            ) s(word)
            inner join
            regexp_split_to_table(lower(tweet.content), ' ') v (word) using (word)
    ) >= 2