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The title makes it sound like they talk about how they did it so efficiently. But all the info we get about that is "The last step was to combine the four bin
by sixhobbits 6y ago
The title makes it sound like they talk about how they did it so efficiently.
But all the info we get about that is
"The last step was to combine the four binary models into one multiclass model, as explained in the previous section, and use it to classify 1M new documents automatically. To do this, we simply went on the UI and uploaded a new list of documents."
Great intro to NLP article, but very light on the actual implementation details and dataset.
- rezamoaiandin 6y agoGiven that is of interest, I'll do a follow up on the implementation details and dataset!
- sixhobbits 6y agovery interested!
- elbigbad 6y agoSame, very interested. Cool intro to NLP, but those are easy to come by. Some implementation details and perhaps some code to reproduce would be amazing.
- micdr0p 6y agoWould also love if you could share code & data!
- mobilio 6y agoI also would like to take a look on code and all input files.
- 55555 6y agoCan you explain what you actually... did? What were the four categories? How did your client make money from this?