Text Analysis

Cohere Embed refers to a text embedding model by Cohere that converts text into numerical vectors.

A coherence score measures the logical flow and clarity of text or speech, often used in AI and natural language processing.

Coreference resolution is the task of determining when two or more expressions in text refer to the same entity.

FastText is an open-source library for efficient text classification and representation learning developed by Facebook's AI Research.

K-shingles are contiguous sequences of K items used in text analysis to represent documents.

Lemma tokenization is the process of breaking text into tokens while reducing words to their base or root form.

Lemmatization is the process of reducing words to their base or root form.

A lemmatizer reduces words to their base or dictionary form, enhancing natural language processing tasks.

Lexical normalization is the process of converting words into a standard or canonical form.

Stemming is a text normalization process that reduces words to their base or root form.

Stopword removal is the process of eliminating common words from text data to enhance analysis and processing efficiency.