You can explore the similarity of sentences with the TensorFlow Projector using reporters defined here to generated the required files. See http://projector.tensorflow.org/data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKAAAAB4CAYAAAB1ovlvAAAAAXNSR0IArs4c6QAAAqZJREFUeF7t10GqGkEARdHqfehcl6Pghpy4IMXV6EZ00AEhZPDzk5BBX2iO44ZH3TrYOs3zPA8fBaICE4BRebOfAgCCkBYAMM1vHEAG0gIApvmNA8hAWgDANL9xABlICwCY5jcOIANpAQDT/MYBZCAtAGCa3ziADKQFAEzzGweQgbQAgGl+4wAykBYAMM1vHEAG0gIApvmNA8hAWgDANL9xABlICwCY5jcOIANpAQDT/MYBZCAtAGCa3ziADKQFAEzzGweQgbQAgGl+4wAykBYAMM1vHEAG0gIApvmNA8hAWgDANL9xABlICwCY5jcOIANpAQDT/MYBZCAtAGCa3ziADKQFAEzzGweQgbQAgGl+4wAykBYAMM1vHEAG0gIApvmNA8hAWgDANL9xABlICwD4Tf79fj/O5/M4nU7pBa19HMA/3PDxeBzzPH+eeDwe436/j+12u3YTi54PwL/kPhwOX56Ypmm83+9xvV4Xvaw1jgH4nwBfr9e43W5rNLHomQD8x1fw8/n8vII3m82iF7T2MQC/ueHdbjcul8v43St47SiWPB+AS9a29fX39Pzzb544CgQFfAMG0U3+KgAgDWkBANP8xgFkIC0AYJrfOIAMpAUATPMbB5CBtACAaX7jADKQFgAwzW8cQAbSAgCm+Y0DyEBaAMA0v3EAGUgLAJjmNw4gA2kBANP8xgFkIC0AYJrfOIAMpAUATPMbB5CBtACAaX7jADKQFgAwzW8cQAbSAgCm+Y0DyEBaAMA0v3EAGUgLAJjmNw4gA2kBANP8xgFkIC0AYJrfOIAMpAUATPMbB5CBtACAaX7jADKQFgAwzW8cQAbSAgCm+Y0DyEBaAMA0v3EAGUgLAJjmNw4gA2kBANP8xgFkIC0AYJrfOIAMpAUATPMb/wErXgK3Em6upQAAAABJRU5ErkJggg==You can explore the similarity of sentences with the TensorFlow Projector using reporters defined here to generated the required files. See http://projector.tensorflow.org/

pt:o texto multilinha _ ca:multilínia _

Turns a list of numbers into tab seperated values (TSV)

No longer needed in Snap! 7+ but retained to avoid error from blocks that expect it.

Passes a list of lists of 512 features of input 'sentences' to 'process result'.

Reports a list of 512 features for each sentence.

list of features list

Takes a list of sentences and reports a string that should be exported as a TSV file to load into http://projector.tensorflow.org/

Turns a list of sentenes into Projector metadata. Should be exported as a TSV file. http://projector.tensorflow.org/

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KBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECByxcQFpoRMBzwAAAABJRU5ErkJggg==Do the same here.Right click on the value balloon that appears after clicking on the following and save it with TSV as the extension name.You can explore the similarity of sentences using the TensorFlow Projector using these two reporters. http://projector.tensorflow.org/ An example using the senences in the Snap! manual can be found here: https://ecraft2learn.github.io/ai/AI-Teacher-Guide/chapter-5.html#generate-projector-filesAfter exploring the results go to http://projector.tensorflow.org/ and load your files into it. We suggest you try the T-SNE visualization.