我有一大堆来自 reddit 的评论。这些字符串被分割成单词,删除标点符号,并进行量化以显示特定 subreddit 上最常用的单词:
SELECT word, COUNT(*) as num_words
FROM(FLATTEN((
SELECT SPLIT(LOWER(REGEXP_REPLACE(body, r'[\.\",*:()\[\]/|\n]', ' ')), ' ') word
FROM [fh-bigquery:reddit_comments.2017_08]
WHERE subreddit="The_Donald"
), word))
GROUP EACH BY word
HAVING num_words >= 1000
ORDER BY num_words DESC
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我有一个要删除的停用词列表,我该如何将其添加到代码中?谢谢 :)
下面的示例适用于 BigQuery Legacy SQL(正如您的问题中所示)
#legacydSQL
SELECT word, COUNT(*) AS num_words
FROM(FLATTEN((
SELECT SPLIT(LOWER(REGEXP_REPLACE(body, r'[\.\",*:()\[\]/|\n]', ' ')), ' ') word
FROM [fh-bigquery:reddit_comments.2017_08]
WHERE subreddit="The_Donald"
), word))
WHERE NOT word IN (
'the','to','a','and'
)
GROUP EACH BY word
HAVING num_words >= 1000
ORDER BY num_words DESC
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BigQuery 团队强烈建议使用标准 SQL
因此,如果您决定这样做migrate - 下面是标准 SQL 中的示例
它假设您在your_project.your_dataset.stop_words表中有停用词
#standardSQL
SELECT word, COUNT(*) AS num_words
FROM `fh-bigquery.reddit_comments.2017_08`,
UNNEST(SPLIT(LOWER(REGEXP_REPLACE(body, r'[\.\",*:()\[\]/|\n]', ' ')), ' ')) word
WHERE subreddit="The_Donald"
AND word NOT IN (SELECT stop_word FROM `your_project.your_dataset.stop_words`)
GROUP BY word
HAVING num_words >= 1000
AND word != ''
ORDER BY num_words DESC
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您可以在此处测试/使用以下虚拟数据
#standardSQL
WITH `your_project.your_dataset.stop_words` AS (
SELECT stop_word
FROM UNNEST(['the','to','a','and']) stop_word
)
SELECT word, COUNT(*) AS num_words
FROM `fh-bigquery.reddit_comments.2017_08`,
UNNEST(SPLIT(LOWER(REGEXP_REPLACE(body, r'[\.\",*:()\[\]/|\n]', ' ')), ' ')) word
WHERE subreddit="The_Donald"
AND word NOT IN (SELECT stop_word FROM `your_project.your_dataset.stop_words`)
GROUP BY word
HAVING num_words >= 1000
AND word != ''
ORDER BY num_words DESC
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