Custom Classifier 2.0
We have built this classifier for text classification which relies on Zero-Shot learning technique called as Custom Classifier. Our base model is trained on a large news corpus of 10 million news articles to discover relationships between sentences and their categories. The resulting model can then generalize on new, unseen categories as well not available in training data.
Custom Classifier 2.0 is now called SmartReader. SmartReader is based on deep learning where AI trains your data to automatically give you topics and sub-topics from your data. This data is further analyzed and gives confidence score for each topic. SmartReader has some salient features such as smart topic identification, automatic categorization, and in-depth analysis of data. SmartReader can quickly analyze large sets of open-ended verbatim comments, surveys, feedback and find actionable insights to boost your business.Create Your Free Model
try our custom classifier 2.0 demo
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In the demo below, provide an input text and some categories (labels) in which you want to classify the text. Depending upon the results you get, you may want to provide some sub-categories for your main category. Sub-Categories should be domain-related keywords for your main category, for eg: You can define sub-categories like "Pitcher","Home run","batter" for a main category like Baseball.
add your categories