Unsupervised Signaling

Finding text that is exceptionally far from the mainstream text.

Quantifying the deviation of the occurrence of words beyond the expected variability, and defining above what threshold you call this a trend.

Dividing a set of vectorized documents into N unsupervised topics by determining how similar vectors for a specific topic should be, and how many topics should be distinguished.

Extracting the most relevant sentences from a text works in the same way as Keyword extraction.

Providing the most relevant words from a document.