Entity and Sentiment Analysis with the Natural Language API Reviews

Subhan A. · Reviewed أكثر من سنة ago

Bilal M. · Reviewed أكثر من سنة ago

Dilnaz S. · Reviewed أكثر من سنة ago

Damir I. · Reviewed أكثر من سنة ago

Sagar S. · Reviewed أكثر من سنة ago

Mohsin A. · Reviewed أكثر من سنة ago

Muhammad Ahmad M. · Reviewed أكثر من سنة ago

Alansary E. · Reviewed أكثر من سنة ago

sajitha S. · Reviewed أكثر من سنة ago

Kyle K. · Reviewed أكثر من سنة ago

Aman B. · Reviewed أكثر من سنة ago

Dhrumit D. · Reviewed أكثر من سنة ago

Reason for a 1-Star Rating for the Lab: Inconsistent API Behavior: The API key worked initially, but subsequent requests returned 403 "PERMISSION_DENIED" errors. The lab instructions do not clarify that API keys may not work for this request, leading to wasted time troubleshooting. Lack of Proper Documentation on Authentication: The lab should explicitly mention that Google Cloud APIs sometimes require OAuth authentication instead of API keys. A fallback authentication method (such as using gcloud auth application-default login) should be included in the instructions. Training Environment Issues: It’s unclear if rate limits, session restrictions, or other security policies are affecting the API key. The lab does not mention if temporary training accounts have API limitations, causing confusion. Time Wasted Due to Missing Context: Without a proper explanation of API authentication options, users are left to debug API errors instead of learning the intended concepts. Suggested Fixes: ✔ Clearly state in the lab that some APIs require OAuth authentication instead of an API key. ✔ Provide a troubleshooting section for common API issues, including "Method doesn't allow unregistered callers" errors. ✔ Mention Google Cloud's API quota restrictions for training environments and how to work around them.

Nicholas R. · Reviewed أكثر من سنة ago

Reason for a 1-Star Rating for the Lab: Inconsistent API Behavior: The API key worked initially, but subsequent requests returned 403 "PERMISSION_DENIED" errors. The lab instructions do not clarify that API keys may not work for this request, leading to wasted time troubleshooting. Lack of Proper Documentation on Authentication: The lab should explicitly mention that Google Cloud APIs sometimes require OAuth authentication instead of API keys. A fallback authentication method (such as using gcloud auth application-default login) should be included in the instructions. Training Environment Issues: It’s unclear if rate limits, session restrictions, or other security policies are affecting the API key. The lab does not mention if temporary training accounts have API limitations, causing confusion. Time Wasted Due to Missing Context: Without a proper explanation of API authentication options, users are left to debug API errors instead of learning the intended concepts. Suggested Fixes: ✔ Clearly state in the lab that some APIs require OAuth authentication instead of an API key. ✔ Provide a troubleshooting section for common API issues, including "Method doesn't allow unregistered callers" errors. ✔ Mention Google Cloud's API quota restrictions for training environments and how to work around them.

Nicholas R. · Reviewed أكثر من سنة ago

Sameer P. · Reviewed أكثر من سنة ago

Rammohan D. · Reviewed أكثر من سنة ago

たかおみ G. · Reviewed أكثر من سنة ago

really great

Jason R. · Reviewed أكثر من سنة ago

Shivam Y. · Reviewed أكثر من سنة ago

Aaron T. · Reviewed أكثر من سنة ago

Dhanvada, L. · Reviewed أكثر من سنة ago

Peter F. · Reviewed أكثر من سنة ago

Parth M. · Reviewed أكثر من سنة ago

Vaibhav J. · Reviewed أكثر من سنة ago

Gustavo N. · Reviewed أكثر من سنة ago