How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a web-based interface for teams to import raw text, mark datasets, and export structured annotations for model training. The project specifically supports text annotation for classification and named entity recognition tasks. It enables teams to coordinate multiple users on a single project to maintain consistent labeling guidelines and increase the speed of dataset creation. The system includes tools for data management and team coordination, providing the ability to import raw data
CoreNLP is a Java natural language processing library designed to convert raw human language text into structured data. It utilizes a suite of linguistic annotators to analyze text through a pipeline, extracting grammatical structures, sentiment, and linguistic patterns. The project includes a coreference resolution engine that links multiple mentions of the same entity to maintain contextual consistency across documents. It also provides tools for named entity recognition to categorize people, companies, and locations, and a part-of-speech tagger to assign grammatical categories and base for
Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine learning. It provides a specialized interface for performing sequence labeling and text classification on natural language datasets. The system functions as a supervised learning dataset manager, allowing multiple users to coordinate within a shared workspace to label datasets for natural language processing tasks. It supports the preparation of raw text data for model training by converting unstructured documents into structured labeled examples. The platform includes capabilit
Active Learning for Text Classification in Python
The main features of webis-de/small-text are: Natural Language Processing, Text Annotation Tools.
Open-source alternatives to webis-de/small-text include: stanfordnlp/corenlp — CoreNLP is a Java natural language processing library designed to convert raw human language text into structured… doccano/doccano — Doccano is a collaborative data labeling platform and machine learning dataset management system. It provides a… chakki-works/doccano — Doccano is a collaborative labeling platform and text annotation tool designed to create training data for machine… 7compass/sentimental — Simple sentiment analysis with Ruby. abitdodgy/gibran — Gibran is an Elixir natural language processor, and a port of WordsCounted. abadojack/whatlanggo — Natural language detection library for Go.
