{"repo":"hcmlab/nova","free":true,"listed":false,"github":"https://github.com/hcmlab/nova","clone":"git clone https://github.com/hcmlab/nova.git","description":"NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.","language":"C#","stars":193,"topics":["annotation","multimedia","behaviour","social-interactions","labeling","coding","database","collaboration","machine-learning","cooperative"],"license":"GPL-3.0","category":"machine-learning","readme_excerpt":"NOVA is a tool for annotating and analyzing behaviours in social interactions. It allows to visualize data recorded with the SSI Framework, as well as from external sources. A main feature of NOVA is that it allows to employ a collaborative annotation database where annotation work can be split between multiple sides, but also between a human annotator and a machine by supporting human annotators with machine learning techniques already during the annotation process - A process we call Collaborative Machine Learning. NOVA allows framewise labeling for a precise coding experience, and value-continuous annotations for labeling e.g emotions or social attitudes. The interface is customizable and allows loading and labeling data of multiple persons. The Annotation format can easily be imported in other tools, like ELAN or Excel. NOVA further supports the Import of Discrete Annotation files from ELAN and ANVIL for a seamless workflow. The Cooperative Machine Learning capabilities allow to train and evaluate machine learning models, such as Support Vector machines or Artificial neural networks directly from the interface with both, a session completion step, where a model is trained on the first minutes of an annotated sessions to predict the remaining session, and a session transfer step where a model is trained on multiple sessions to predict completly unknown data. With the help of human input the models can be refined. The collaborative ML workflow is illustrated below. The late","default_branch":null,"files":null,"tree":[],"storefront":"/r/hcmlab","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hcmlab/nova/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}