Light-Weighted CNN for Text Classification

16 Apr 2020Ritu Yadav

For management, documents are categorized into a specific category, and to do these, most of the organizations use manual labor. In today's automation era, manual efforts on such a task are not justified, and to avoid this, we have so many software out there in the market... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Document Text Classification Tobacco-3482 Lightweight TextCNN with Dual Optimizer Accuracy 43.5 # 2
Training time (hours) 0.43 # 3
Document Text Classification Tobacco-3482 Lightweight Text CNN Accuracy 42 # 3
Training time (hours) 1 # 2
Document Text Classification Tobacco-3482 Optimized Text CNN Accuracy 46 # 1
Training time (hours) 2 # 1
Document Text Classification Tobacco small-3482 Optimized Text CNN Accuracy 84 # 1
Training time (min) 9 # 1
Document Text Classification Tobacco small-3482 Lightweight Text CNN Accuracy 82.5 # 3
Training time (min) 5 # 2
Document Text Classification Tobacco small-3482 Lightweight TextCNN with Dual Optimizer Accuracy 83 # 2
Training time (min) 2 # 3

Methods used in the Paper