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Classify Text into Categories with the Natural Language API

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73 评论

0b16a8c4adce6e1fe064b3ba6b29bf15

Excellent. It will be interesting how the same can be done in an automated way, like in production

Sabu J. · 评论大约 2 小时之前

333fb900a065c309226908fa34443942

Louisse Kayle P. · 评论大约 4 小时之前

0b16a8c4adce6e1fe064b3ba6b29bf15

Excellent. It will be interesting how the same can be done in an automated way, like in production

Sabu J. · 评论大约 7 小时之前

532087225020d4b8fb61934e8a132bb2

Amit G. · 评论大约 13 小时之前

3ce9925cf335130d89999e3443306271

I think we should build a foundation. Thank you.

jang s. · 评论大约 18 小时之前

134d88ef6194061b466f6f262419f73a

Robert A. · 评论1 天之前

757b1e2ccb678e584a627f3517f9d352

Not quary warking it give zero results

suresh m. · 评论1 天之前

C2d45069c181b9a669e5925f9a0017e2

Nice quick labs

Paul V. · 评论1 天之前

C2d45069c181b9a669e5925f9a0017e2

Paul V. · 评论1 天之前

C2d45069c181b9a669e5925f9a0017e2

Paul V. · 评论1 天之前

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Bruno S. · 评论1 天之前

C67a6ce0ca21f05bc8c0e1db77953f0e

This query is not correct provided ... SELECT * FROM `YOUR_PROJECT.news.classification_dataset.article_data` it should be SELECT * FROM `YOUR_PROJECT.news_classification_dataset.article_data`

Amar L. · 评论1 天之前

28ee8939ff7b06c4d3cf2f222f18d037

Excellent lab on BigQuery and Text classification. Remember to use [] around your data base table name though.

Krishna B. · 评论2 天之前

B0c208dcab5ed50ef08cdc783c053379

Sudipta B. · 评论2 天之前

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AMRUTAM S. · 评论2 天之前

37985df008e64c4f438e0179dfe3848c

Tushti N. · 评论2 天之前

5dbd2c163664ce0a88b221d8806264c3

Robert J. · 评论3 天之前

3144347d614173d99f302cf71da71d70

OK

Victor David S. · 评论3 天之前

1d600e198e14626dd011e7de71ea87a1

one of the instructions had the first part of the table name as "news." instead of "news_"

Brad N. · 评论3 天之前

93c8a6ad467ba66cab4dde7ec2ca5e2b

David S. · 评论3 天之前

A5b9ece62136913804e5a58669f4ab42

Pretty good lab, although from the outset I would like to know the if just the classification alone would be enough to derive confidence and I would have to dig to find which dataset it classifies against.

Marc L. · 评论3 天之前

B6ead82deb200fcb7ecbd24956f29466

very cool

Vagish N. · 评论3 天之前

Deb2906408e7a94b02eced29a5618db4

Adrian C. · 评论3 天之前

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Nicolo P. · 评论3 天之前

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Ashish B. · 评论3 天之前