Entity and Sentiment Analysis with the Natural Language APIGo to Lab
There is a serious issue to report with the Artificial Intelligence "Magnitude" rating system found herein: In the first example we see an magnitude of only .1 for the saying "I think everyone should read it." Which is a positive reaffirming statement and carries quite a bit of magnitude, as defined to be "Weight of sentiment expressed." Ok, now, here's where the real problem lies--- The next sentence was something about sushi and service being terrible. This rendered a magnitude of .9 because most likely the word "terrible" being in the sentence. Now this is problematic from a huge ethical standpoint and allow me to speculate here: AI being used to screen possible candidates for employment or team recruitment for govt. or other operations. In the intelligence field, sometimes individuals with criminal and or other "negative demerits / marks" on their records and files will be experiencing an inordinate amount of bias from Google Artificial Intelligence by a ration of 8/1!!! That's fucking ridiculous and basically retarded. Where did that amount of bias come from? It needs to at least be EVEN, that is to say 1:1 ratio, because someone's "positive or reaffirming" sentiment weighs in at 1:8 vs someone's slight or negatively interpreted aspects are weighing it at 8:1? I am a security analyst working in part with the federal government, and this needs to be IMMEDIATELY addressed before continuing to be released and developed by the public at large. If you have any issues please contact my office: Robert Brooks Authement CEO; Briq Haus Ltd. Security & Intelligence (970) 427-4884
I think we should build more bases. Thanks you!
Course was clear, but Cloud Shell did not work well using Edge
Nice and easy to use simple API for Natural Language processing.
Great simple lab and everything works for me. Bookmarked the NLP analysis documentation.
more live cases that leverage NLP output will be good