Text analysis at Relevance AI is done through state-of-the-art neural networks trained and tested on huge datasets and on different tasks.
The expectation is for the model to be able to handle all levels of text with acceptable accuracy. However, since the size of a text piece can affect the number of themes and topics included in the context of the text, Relevance AI, provides you with a variety of text analysis tools. For instance, AI-clustering is recommended for shorter pieces of text or when high-level analysis of the text is needed. AI-tagging provide you with a more granular analysis.
Updated 5 months ago