Definition: LeMatazer is a tool used for tokenizing text data into individual words, akin to lemmatization in English, but focusing more on morphology (grammar) rather than phonetics or spelling. It can be useful for natural language processing tasks like sentiment analysis and named entity recognition. Detailed definitions include:
1.
LeMatazer
- "A tool used for tokenizing text data into individual words based on its morphological properties."
2.
Termization
- "The process of breaking down a term (noun, verb or adjective) into its constituent parts, such as the root (base form), stem and suffixes."
3.
Morphology
- "The study of word structure, meaning, pronunciation, etymology, and history."