Active Learning for Text Classification Discussions

Active Learning for Text Classification trains a text classification model using a small corpus of training data and provides the most appropriate samples from a huge corpus of unlabeled data to be annotated in order to improve the model accuracy significantly. Using Active Learning this algorithm helps in identifying the most effective data sample to be tagged first thus reducing the time and effort to build a usable Machine learning model. When users leave Active Learning for Text Classification reviews, G2 also collects common questions about the day-to-day use of Active Learning for Text Classification. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.