GDELT：计算特定主题的出现次数答案

【问题标题】：GDELT: count occurence of specific themesGDELT：计算特定主题的出现次数
【发布时间】：2020-11-10 09:25:50
【问题描述】：

我试图计算术语“BITCOIN”在 GDELT 数据库的主题列中出现的频率，然后按日期对计数进行分组。这是我目前所拥有的：

SELECT DATE, SPLIT(RTRIM(Themes,';'),';') themes 

FROM `gdelt-bq.gdeltv2.gkg_partitioned` WHERE _PARTITIONTIME >= "2020-11-01 00:00:00" AND _PARTITIONTIME < "2020-11-07 00:00:00" 
#and (Themes like "%BITCOIN%")
#or (AllNames like "%bitcoin%" or AllNames like "%BITCOIN%")

and length(Themes) > 1
) select count(theme) cnt from nested, UNNEST(themes) as theme WHERE theme like "%BITCOIN%"

group by DATE

这是正确的方法吗？谢谢！

【问题讨论】：

标签： google-bigquery gdelt

【解决方案1】：

以下是 BigQuery 标准 SQL

#standardsql
select date(_partitiontime) date, count(theme) occurences
from `gdelt-bq.gdeltv2.gkg_partitioned`, unnest(split(themes,';')) as theme 
where _partitiontime >= "2020-11-01 00:00:00" and _partitiontime < "2020-11-07 00:00:00" 
and lower(theme) like "%bitcoin%"
group by date
-- order by date

有输出

【讨论】：