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# Sentiment Grammars

Polarity Scoring

Verb Sentiment Transitivity

Eduction 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 also have ‘lite’ counterparts. These can process data up to twice as fast compared to the full versions, depending on language. The ‘lite’ versions are identical to the full versions in most respects, but they do not support components or user modification. HPE recommends that you use the ‘lite’ versions except in cases where you want to enable components or modify the built-in dictionaries.

The ‘lite’ versions are distinguished from the full versions by the addition of lite to the file name, preceded by an underscore. 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` now support components. You can extract the SENTIMENT and TOPIC components in most matches.

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