Train model instantly with Sentidigital’s zero-shot AI already delivers up to 80% accuracy using pre-trained data, ready to use.
However, when your business needs more precision and deeper personalization, you can easily train a model using Sentidigital classification tools without any coding or technical complexity.
In practice, therefore, you can simply train your own model using SentiDigital’s powerful no-code training tool.
Within just a few minutes, you obtain a custom AI model that truly understands your data.
As a result, you build a custom AI model that adapts to your unique workflows faster, smarter, and with full control.
Step 1: Upload Your Content
First, upload your datasets in just a few clicks.
Then, without any formatting, preparation, or coding, your data is processed automatically.
Consequently, your data is immediately ready for model training.
Step 2: Define your Labels
Next, create 2 to 3 key labels based on what you want your model to predict:
Sentiment
Intent
Or any custom category
After that, assign each piece of data to the right label.
As a result, this step teaches your AI how to think and recognize patterns in your content.
Step 3: Let the AI Train Your Model
Once your data is labeled, SentiDigital automatically trains your model in just a few minutes.
After training, you receive:
A performance report
Key accuracy metrics
Clear insights on whether your model is ready to deploy or needs improvement
In other words, there is no code, no infrastructure, and no technical burden only results.
Why Train Your Model With SentiDigital?
Above all, you benefit from:
✔ No-code AI training
✔ Faster deployment
✔ Higher accuracy on your own data
✔ Full control over your labels
✔ Evaluation before production
✔ Secure and scalable AI
Moreover, training a model with your own data allows you to eliminate generic predictions and achieve results that are truly aligned with your business goals. Whether you work in marketing, customer support, finance, or compliance, you can train a model that reflects your real-world use cases with unmatched precision.
