Named Entity Recognition 26.3
Named Entity Recognition User and Programming Guide

# Sentiment Grammars

Named Entity Recognition includes standard grammars designed to identify those phrases in a passage of text that indicate positive or negative sentiment. These grammars can also identify which sentiments are expressed for which topics.

The sentiment grammar files have lite versions. The lite versions are identical to the full versions in most respects, but they do not support components or user modification. They can process data up to twice as fast as the full versions, depending on language.

OpenText recommends that you use the lite versions except when you need to use components or modify the built-in dictionaries.

The lite grammars have the same name as the full version, with `_lite` after the language. For example, the file name of the Chinese sentiment grammar file is `sentiment_chi.ecr`, and the file name of the lite version is `sentiment_chi_lite.ecr`.

All sentiment analysis grammar files except `sentiment_basic_eng.ecr` support components. You can extract the SENTIMENT and TOPIC components in most matches.

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Version 26.3 | Last updated July 2026

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Product: Knowledge Discovery Named Entity Recognition 26.3

Topic Title: Sentiment Grammars