Como usar a API Natural Language para classificar textos não estruturados avaliações

René J. · Revisado há over 2 years

Mario A. · Revisado há over 2 years

Jesus A. · Revisado há over 2 years

Lam M. · Revisado há over 2 years

Pradeep T. · Revisado há over 2 years

teerarat n. · Revisado há over 2 years

Gabriele B. · Revisado há over 2 years

Agus S. · Revisado há over 2 years

Kuramochi M. · Revisado há over 2 years

Jachym S. · Revisado há over 2 years

Ishfaq A. · Revisado há over 2 years

Jarupong T. · Revisado há over 2 years

Wieke A. · Revisado há over 2 years

If I create the table with other name and change the table name in all scripts, all things work well.

Vu L. · Revisado há over 2 years

Phuc N. · Revisado há over 2 years

Krian Bayu A. · Revisado há over 2 years

Hoa P. · Revisado há over 2 years

Nurul F. · Revisado há over 2 years

Hai L. · Revisado há over 2 years

Wee Hong S. · Revisado há over 2 years

Thanh D. · Revisado há over 2 years

Erwin B. · Revisado há over 2 years

Gabriel M. · Revisado há over 2 years

Todo bien

Roberto P. · Revisado há over 2 years

This is one of the only labs I've seen that includes a section encouraging you to explore the capabilities of BigQuery, but a longer lab duration and a more complex dataset would have made that way more valuable. Focusing on more than one category per article would have also been more interesting. We should make use of the "Preview" feature in BigQuery, after running the Python file during Task 6, as it is presented by Google as a usually better choice than SELECT * queries. More customization and user-experimentation would make the lab more engaging, maybe we could have an incomplete version of the Python file to start with, or even try to write it from scratch ourselves with some hints (and perhaps compare our work to the pre-existing file after, or use it if ours doesn't work). The commands to create and appropriately permission a service account could use some more detailed explanation.

Nicholas C. · Revisado há over 2 years