创建一个表包括了文章的唯一标识符(id)、文章的文本(text)和对文章情感的分类(sentiment),数据量为1万条,并且带表格形式,其中sentimen的值为['Positive', 'Negative', 'Neutral'] 英文版
时间: 2023-05-20 16:01:25 浏览: 64
文本情感分类 'negative', 'neutral', 'positive' 数据集reviews.csv
Sure, I can help you with that. Here's the code to create a table with 10,000 rows that includes the unique identifier (id), text of the article (text), and sentiment classification (sentiment) with possible values of 'Positive', 'Negative', or 'Neutral':
```
-- create table
local articles = {}
-- add 10,000 rows
for i = 1, 10000 do
articles[i] = {
id = i,
text = "Article " .. i .. " text",
sentiment = {'Positive', 'Negative', 'Neutral'}[math.random(1,3)]
}
end
-- print table as a formatted table
print(string.format("%-10s %-30s %-10s", "ID", "Text", "Sentiment"))
for i = 1, #articles do
print(string.format("%-10d %-30s %-10s", articles[i].id, articles[i].text, articles[i].sentiment))
end
```
This will create a table with 10,000 rows and print it in a formatted table with columns for id, text, and sentiment. Let me know if you have any other questions!
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