Accuro™ performs State-Of-the-Art data augmentation to help improve Machine Learning models.
Accuro™ can be used on various text-based Machine Learning tasks to help build better models by enabling them to see more data than before so they can learn better.
Some use cases of Accuro™
Named Entity Recognition
How does it work ?
Accuro™ can be widely applied to data platforms for a variety of applications, ranging from marketing to customer service. In ACCURO, the data gets processed through different “state-of-the-art” augmentation techniques for predefined NLP tasks like Sentiment Analysis, Topic Modeling, Machine Translation, Document Summarization, etc.
The “state-of-the-art” augmentation techniques include seven augmenters. These are Character augmenter,Spelling augmenter, Random word insertion, Random word deletion, Split augmenter,Synoynm augmenter, Similar Word augmenter.
Our State-Of-The-Art products with cutting-edge technology helps in improving model performance.