Using the Natural Language API to classify unstructured text Reviews

35479 reviews

This was an interesting lab, but unfortunately, running classify-text.py with python3 results in the following error: student_03_0124b10b6b17@cloudshell:~ (qwiklabs-gcp-03-75c6632da366)$ python3 classify-text.py Got article files from GCS, sending them to the NL API (this will take ~2 minutes)... Traceback (most recent call last): File "classify-text.py", line 32, in <module> nl_response = classify_text(article_text) File "classify-text.py", line 17, in classify_text document=language.types.Document( AttributeError: module 'google.cloud.language' has no attribute 'types' python2 worked fine though.

Calvin Y. · Reviewed almost 6 years ago

ok

Gerardo A. · Reviewed almost 6 years ago

Vijayakumaran J. · Reviewed almost 6 years ago

In Task 6: Classifying news data and storing the result in BigQuery SELECT * FROM `news_classification_dataset.article_data` Last Course you mentioned that is a good practice to don't use 'SELECT *', you should regularize this good practice in all your videos.

Jorge E. · Reviewed almost 6 years ago

Siddaraju N. · Reviewed almost 6 years ago

Kenneth S. · Reviewed almost 6 years ago

Roman U. · Reviewed almost 6 years ago

Leung S. · Reviewed almost 6 years ago

Good content but very poor application performance. Taking almost a minute for each click response. Also end lab response returned 504 error.

Dev K. · Reviewed almost 6 years ago

MORRISDARREN B. · Reviewed almost 6 years ago

Andrea G. · Reviewed almost 6 years ago

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Adhya, S. · Reviewed almost 6 years ago

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raghav m. · Reviewed almost 6 years ago

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Gopinath K. · Reviewed almost 6 years ago

Sasha M. · Reviewed almost 6 years ago

Easy to follow instrucctions.

Diego H. · Reviewed almost 6 years ago

Alicia Judith A. · Reviewed almost 6 years ago

none

Lian Huat W. · Reviewed almost 6 years ago

Muthukumar S. · Reviewed almost 6 years ago

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hcl i. · Reviewed almost 6 years ago

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