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One of the limits of NLP is good annotated data, this is also true for tinyML where a user might want to add their own examples to train and/or test an ML model. How can a user easily collect and annotate text data?
Here are two examples of open source text annotation software to check out:
One of the limits of NLP is good annotated data, this is also true for tinyML where a user might want to add their own examples to train and/or test an ML model. How can a user easily collect and annotate text data?
Here are two examples of open source text annotation software to check out:
Doccano
Brat
Do these meet the needs of users?
Are there better solutions?
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