Pienso Fingerprinting is an interactive semi-supervised approach to training generative models. It puts the subject matter expert in the driver's seat, not an engineer — no coding or labeled data required.
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Spin up a new fingerprint model in minutes: Just choose your (unlabeled) training data, upload any stop words you want the model to ignore, and go.
Once your model has been initiated, Pienso will generate a number of detected themes. It's up to you to label them as distinct 'topics,' merge them, and reject them based on your goals and expertise — we call this interactive process semi-supervised learning.
Model-training can be as short or long a process as you want it to be: Accept Pienso's suggestions in an instant, or delve into the details of each topic's definition. When you're ready toput your model to the test with new data, just click 'Finalize.'
From here, your model can be tested in Pienso Analysis, directed at live data with Pienso Deploy, or used to label new data in Pienso Annotate.
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05 Deep Learning
Pienso Deep Learning uses labeled training data to create a powerfully accurate topic model.
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01 Ingest
Pienso Ingest lets you prepare your raw text for use as training data, whether it's structured or unstructured.
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02 Explore
Pienso Explore lets you search a data set for documents that match your interest.
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03 Annotate
Pienso Annotate empowers you to convert your data sets from unstructured to structured — without manually labeling a single document.
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06 Analysis
Pienso Analysis lets you use a finalized Fingerprint or Deep Learning model to investigate a data set through an array of granular views.
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07 Dashboard
Pienso Dashboard lets you monitor the results of your Fingerprint or Deep Learning models in real-time as they score new documents as part of your Pienso API Deployment.
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08 Deploy
Pienso Deploy is a UI-driven API deployment manager. Use it to put your models on an API production slot that you can send your live data to for scoring.
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