Custom Classifier 2.0
The Custom Classifier 2.0 is used for text classification. Its base model is trained on a huge
corpus of news articles to discover relationships between sentences and the labels they belong
to. It uses the zero shot learning technique. Thus, it can even generalize on new unseen
categories with datasets it has not been trained on.
Custom Classifier 2.0 is based on deep learning. The AI trains your data and automatically furnishes you with categories and labels associated with your datasets. It further performs data analysis to attribute confidence scores to these categories and labels.
Custom Classifier 2.0 can quickly analyze large sets of open-ended verbatim comments, surveys, feedback to find actionable insights that boost your business. It can be customized and works accurately in real-time. Its salient features include smart topic identification, automatic categorization and in-depth data analysis.