ApplicationCategoryPrediction
A repository for predicting appstore category of mobile applications using their description text.
Dataset
The dataset is provided by CafeBazaar link at a contest held by the team.
Details
The dataset contains 37899 train and 10000 test samples, respectively. Each training sample has the following set of columns:
- app_id
- description_fa
- label
Samples in the testset do not have labels since it was a contest. If you're looking for the labels, you should ask the organizing team since, they didn't provide the labels after the contest.
Method
A pretrained bert on persian corpus was used. The pretrained model was taken from Hooshvarelab/ParsBERT.
Results
I achieved 75.2 % test accuracy which ranked 10 amogst 125 valid submission. The highest score in the leaderboard was 76.3 %.
Happy Coding!
Taha.