Using the Natural Language API to classify unstructured text Reviews
34754 reviews
René J. · Reviewed over 2 years ago
Mario A. · Reviewed over 2 years ago
Jesus A. · Reviewed over 2 years ago
Lam M. · Reviewed over 2 years ago
Pradeep T. · Reviewed over 2 years ago
teerarat n. · Reviewed over 2 years ago
Gabriele B. · Reviewed over 2 years ago
Agus S. · Reviewed over 2 years ago
Kuramochi M. · Reviewed over 2 years ago
Jachym S. · Reviewed over 2 years ago
Ishfaq A. · Reviewed over 2 years ago
Jarupong T. · Reviewed over 2 years ago
Wieke A. · Reviewed over 2 years ago
If I create the table with other name and change the table name in all scripts, all things work well.
Vu L. · Reviewed over 2 years ago
Phuc N. · Reviewed over 2 years ago
Krian Bayu A. · Reviewed over 2 years ago
Hoa P. · Reviewed over 2 years ago
Nurul F. · Reviewed over 2 years ago
Hai L. · Reviewed over 2 years ago
Wee Hong S. · Reviewed over 2 years ago
Thanh D. · Reviewed over 2 years ago
Erwin B. · Reviewed over 2 years ago
Gabriel M. · Reviewed over 2 years ago
Todo bien
Roberto P. · Reviewed over 2 years ago
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. · Reviewed over 2 years ago
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