Análise de fala e linguagem com as APIs do Google: laboratório com desafio avaliações

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승남 왕. · Revisado há over 1 year

In Task 4 I downloaded the samples from the cloud storage URI given in lab and ran the sentiment analysis: 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 And response is 'Please download the samples from the cloud storage URI given in lab and run the sentiment analysis on any files present in 'reviews' folder.'

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