TextLabel is an annotation tool designed for text classification, named entity recognition, and machine learning data preparation. Whether you are organizing training data, building NLP datasets, or reviewing model predictions, TextLabel helps you complete the entire annotation workflow in a clear and efficient workspace. Key Features: - Text Classification: Supports single-label and multi-label classification. - Entity Annotation: Add entity tags simply by selecting text. - Relation Annotation: Establish relationships between entities. - Flexible Import: Supports TXT, CSV, TSV, JSON, and JSONL formats. - Efficient Management: Filter tasks by status, label, and data source. - Batch Pre-annotation: Generate entity annotations using dictionaries or regular expressions. - AI-Assisted Annotation: Supports local Core ML models and various cloud-based AI services. - Project Statistics: View annotation progress and the usage of various labels. - Multi-Format Export: Supports JSON, JSONL, CSV, BIO, BIOES, CoNLL, and entity lists. - Create ML Support: Generates training data for text classification and Word Tagger. - Project Backup: Fully saves tasks, labels, settings, manual annotations, and model predictions. - Multilingual Interface: Supports Simplified Chinese, Traditional Chinese, and English. TextLabel is ideal for machine learning engineers, data annotators, researchers, students, and anyone who needs to organize and annotate text data. From plain text to model-ready datasets, let TextLabel make every step simpler for you. Terms of use：https://my.feishu.cn/docx/Gje7dO42IoNrMJxEK8KctgoRnvb
Developer Tools · iPhone, iPad · Free
