Lemmatization Inflectional stemming:

Lemmatization Inflectional stemming:

Lemmatization Inflectional stemming:

Lemmatization and inflectional stemming are two techniques used in natural language processing to normalize words, reducing them to their base or root forms. Here's a brief explanation of each:

1. Lemmatization:

- Lemmatization is the process of reducing words to their base or dictionary form, known as the lemma. The lemma represents the canonical, or dictionary, form of a word.

- Unlike stemming, which may produce a truncated or approximate root form, lemmatization ensures that the resulting word is a valid word found in a dictionary.

- Lemmatization takes into account the morphological analysis of words and can handle variations such as different inflected forms, tense, plurality, and so on.

- For example, the lemma of "am", "are", and "is" is "be". Similarly, the lemma of "running" is "run".

2. Inflectional Stemming:

- Inflectional stemming is a simpler technique compared to lemmatization. It involves removing suffixes or prefixes from words to obtain their root forms.

- Stemming algorithms aim to cut off affixes from words to reduce them to a base or root form. This process doesn't always result in valid words but is effective in grouping words with similar meanings together.

- Stemming is more computationally efficient compared to lemmatization but may produce stems that are not actual words.

- For example, the stem of "running" would be "run", and the stem of "cats" would be "cat".