The majority of NLP projects fail before they even get started due to inadequate data management and cleaning. This is due to open-source solutions being hard to set up and maintain while not performing well.
That's why we have a solution that combines data management and cleaning in one single platform + API combinatio
Choose from an expansive collection of data connectors or simply import your own files in various formats.
To ensure privacy, your data is safeguarded in a secure environment only you have access to. This data can be conveniently reused across all of your current and future word processing projects.
The dataset manager gives you the power to oversee your sources to effortlessly collaborate between teams as well as repurpose the sources for additional NLP projects across your organization. Datasets are transformed into data assets.
Manually cleaning up data can be a pain, but our pain is your gain. We have worked hard to automatic this tedious task and make it available to all our users.
Standupcode now offers a precise cleaning formula that can be applied to each data type which makes it easy to manage cluttered data, such as speech-to-text transcripts.
The majority of NLP projects fail before they even get started. Pick a tool that allows you to focus on the meaning of your text, not on collecting and cleaning the data.
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