Working with text data on the Peltarion platform
Data is key when working with AI. And if the data you want to work with consists of text, the Peltarion platform can offer a range of powerful solutions for you to benefit from. Below is an overview of how you can apply deep learning on text data for classification, similarity, regression and sentiment problems.
![]()
Text classification
Text classification enables you to categorize pieces of text into organized and pre-defined groups. By using Natural Language Processing (NLP), text classification models can automatically analyze pieces of text and tag or categorize them based on their content.
![]()
Text similarity
With text similarity, you can build models that compare and find texts that are similar in context and meaning, without them sharing a single common word. This means that for a given set of texts, the model can give you a quantifiable measure of how alike they are and give you the best matches in return, and in 100 languages.
![]()
Sentiment Analysis
Understanding the perception of a product, service or brand is essential for any company in any industry. Sentiment analysis is a common task in Natural Language Processing (NLP) and runs as a type of text classification where an AI model gets trained to identify the emotional tonality of a text as positive, negative or neutral.
