The power of stopword removal and textual data augmentation for imbalanced classes in multi-label classification
In this blog, we are experimenting stopword removal during the tokenization step in texual preprocessing and the data augmentation for imbalanced classes. Task Background We have scraped 2,000 reviews pertaining to customers’ shopping experiences with a French retailer from Trustpilot. Given that the data was unlabelled, we undertook the task of manually…
The power of stopword removal and textual data augmentation for imbalanced classes in multi-label classification In this blog, we are experimenting stopword removal during the tokenization step in texual preprocessing and the data augmentation for imbalanced classes. Task Background We have scraped 2,000 reviews pertaining to customers’ shopping experiences with a French retailer from Trustpilot. Given that the data was unlabelled, we undertook the task of manually… nlp
power stopword removal textual data augmentation imbalanced class multilabel classification blog experimenting stopword removal tokenization step texual preprocessing data augmentation imbalanced class Task Background scraped 2000 review pertaining customers’ shopping experience French retailer Trustpilot Given data unlabelled undertook task manually… nlp