Multiscope
Version: 1.0 (2024-04-01)
Multiscope is a web-based dashboard for training and evaluating multi-label text classification models. It provides a complete pipeline for multi-label text classification that covers data splitting, model training and evaluation. The user has the option to both train and test models on datasets of choice.
Specifications
Which Operating Systems does it work on?
Windows
Unix
MacOs
Linux
Licence
Free
Distribution
Local application
User Interface
GUI
Docker instance
No or not known
Does the tool allow you to export the results?
Yes
How is an input document or how is the data to be structured for the tool?
The tool allows for .xlsx, .csv and .json files to be processed.
Excel files and CSV files should contain three columns, namely “text” (contains strings of texts; 1 text per row), “labels” (each row contains a list of label strings or integers) and “subset” (“train”, “val” or “test”).
JSON files should adhere to the following structure:
{
data:{
‘train’: [{‘id’: ID_1, ‘text’: TEXT_1, ‘labels’: [LABELS]}, …, {‘id’: ID_N, ‘text’: TEXT_N, ‘labels’: [LABELS]} ]
‘val’: [{‘id’: ID_1, ‘text’: TEXT_1, ‘labels’: [LABELS]}, …, {‘id’: ID_N, ‘text’: TEXT_N, ‘labels’: [LABELS]} ] (if present)
‘test’: [{‘id’: ID_1, ‘text’: TEXT_1, ‘labels’: [LABELS]}, …, {‘id’: ID_N, ‘text’: TEXT_N, ‘labels’: [LABELS]} ] (remove ‘labels’ if not present in test set)
}
}
Access
https://github.com/clips/multiscope
How to install, documentation, user guides, workflow description, link to tutorials, …
The official documentation can be found here: https://www.uantwerpen.be/en/research-groups/clips/research/computational-linguistics/compling-resources/clips-technical-repo/#:~:text=11.%20Multiscope%3A%20A%20User-Friendly%20Multi-Label%20Text%20Classification%20Dashboard
To install the tool, follow the instructions on the GitHub page: https://github.com/clips/multiscope.
Additional information
Category
Content analysis
Author(s)
Jens Lemmens – University of Antwerp (CLiPS) – ORCID ID: 0000-0001-6240-1158
Walter Daelemans – University of Antwerp (CLiPS) – ORCID ID: 0000-0002-9832-7890
Identifier(s)
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Related tools
Styloscope (stylometry detection pipeline): https://github.com/clips/styloscope
Citation
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