Analyze Speech and Language with Google APIs: Challenge Lab Reviews

paramas w. · Reviewed almost 2 years ago

Kantawat K. · Reviewed almost 2 years ago

João P. · Reviewed almost 2 years ago

luis henrique s. · Reviewed almost 2 years ago

luis henrique s. · Reviewed almost 2 years ago

Kauan V. · Reviewed almost 2 years ago

Khairul F. · Reviewed almost 2 years ago

Chatree R. · Reviewed almost 2 years ago

last step doesnt pass

Chin Chee H. · Reviewed almost 2 years ago

Kantapat M. · Reviewed almost 2 years ago

ssh lost. can't find python interpreter in ssh

Porrameth V. · Reviewed almost 2 years ago

Edward C. · Reviewed almost 2 years ago

alysha G. · Reviewed almost 2 years ago

Mas Aisyah A. · Reviewed almost 2 years ago

Laura S. · Reviewed almost 2 years ago

Mohd Faisal M. · Reviewed almost 2 years ago

Tom N. · Reviewed almost 2 years ago

Xiao Ting B. · Reviewed almost 2 years ago

I can't finish this lab as the last step won't let me progress even though I've gotten the python app running and it's showing the correct analysis

Isaac C. · Reviewed almost 2 years ago

no hint for python code

Sukkpranhachai G. · Reviewed almost 2 years ago

I wrote code for the last Natural Language API and ran it on the bladerunner-pos.txt, giving output as below, but the 'Check my progress' button doesn't recognize my work. python3 sentiment_analysis.py reviews/bladerunner-pos.txt student-03-a7080076b538@lab-vm:~$ python3 sentiment_analysis.py reviews/bladerunner-pos.txt Sentence 0 has a sentiment score of 0.699999988079071 Sentence 1 has a sentiment score of 0.20000000298023224 Sentence 2 has a sentiment score of 0.699999988079071 Sentence 3 has a sentiment score of -0.10000000149011612 Sentence 4 has a sentiment score of 0.0 Sentence 5 has a sentiment score of -0.6000000238418579 Sentence 6 has a sentiment score of -0.10000000149011612 Sentence 7 has a sentiment score of 0.5 Sentence 8 has a sentiment score of 0.4000000059604645 Sentence 9 has a sentiment score of 0.8999999761581421 Overall Sentiment: score of 0.20000000298023224 with magnitude of 4.599999904632568 From reading other people's comments, had to run 'gunzip sentiment-samples.tgz' for the final step of the lab to pass, even though I'd achieved the same effect with 'tar -xvf sentiment-samples.tgz'

Tung Jin C. · Reviewed almost 2 years ago

lii G. · Reviewed almost 2 years ago

Muhammad A. · Reviewed almost 2 years ago

Sako H. · Reviewed almost 2 years ago

unclear instruction for task 4

fadhlina w. · Reviewed almost 2 years ago