MB
11 6 2021
Then Svift-Kee is for you! It is…
Svift-Kee takes the last 1-3 words of a text input and provides three possible follow-up words. Simply click on the one you want and Svift-Kee adds it straight to your text!
Svift-Kee relies on a data analysis of text examples from blogs, twitter and news pages. Of course, all profanities and racist words were excluded, so Svift-Kee helps making the internet a friendlier place!
The algorithm behind it relies on the Kneser-Ney method for predicting new words. After trying three different models for smoothing the data and prediciting new words, the creators of Svift-Kee have found Kneser-Ney modelling to have the best accuracy.
The performance of Svift-Kee was enhanced by filtering the data in an intelligent way and using the R package data.table to process the underlying data. This reduced the needed time by almost half!
## user system elapsed
## 5.09 0.76 7.33
## user system elapsed
## 7.14 0.42 8.26