liveBook · Manning

Contextual rule

As explained in Starting Data Analytics with Generative AI and Python

A rule describing how the interpretation or relevance of a lexical item changes according to its surrounding context.

A contextual rule describes how a word’s meaning or relevance changes with its surrounding context. Dictionary-based text analysis uses these rules to handle words with multiple meanings or grammatical functions instead of relying on simple keyword matching. section 5.6.1

Negation and changing meaning

A contextual rule can identify when negation changes a statement’s meaning, helping analysis distinguish nuanced sentiment from a simple positive-or-negative label. section 5.6.1

How Starting Data Analytics with Generative AI and Python covers it

How deep it goes
Defines context-dependent rules and contrasts them with keyword detection, without specifying implementation procedures.
Examples
Uses multiple word meanings, different sentence functions, and negation that changes a statement’s meaning as examples.
What you can do after
Evaluate text meaning beyond keyword matches by accounting for context, word relationships, and negation.
How it connects
Links dictionary-based methods with sentiment analysis, negation, semantic relationships, and multi-word expressions.

This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.