Deep Categorization assigns one or more categories to a text, using a very detailed rule-based language that allows you to identify very specific scenarios and patterns using a combination of morphological, semantic and text rules.
Topics Extraction extracts relevant information such as Named Entities (people, locations, organizations, etc), concepts as well as facts (dates, time expressions, quantities, etc) from bodies of text.
Lemmatization, PoS and Parsing carries out different linguistic analysis in several languages: morphosyntactic analysis, PoS (Part of Speech) tagging, and lemmatization.