crawlservpp::Data::SentimentScores Struct Reference

Structure for VADER sentiment scores. More...

#include <Sentiment.hpp>

Public Attributes
float	positive {}
	Positive sentiment. More...
float	neutral {}
	Neutral sentiment. More...
float	negative {}
	Negative sentiment. More...
float	compound {}
	Compound score. More...

Detailed Description

Structure for VADER sentiment scores.

Member Data Documentation

compound

float crawlservpp::Data::SentimentScores::compound {}

Compound score.

This score is computed by summing the valence scores of each token in the lexicon, adjusted according to the rules, and then normalized to be between -1 (most extreme negative) and +1 (most extreme positive).

This is the most useful metric if you want a single unidimensional measure of sentiment for a given sentence.

Calling it a 'normalized, weighted composite score' is accurate.

Referenced by crawlservpp::Data::Sentiment::analyze().

negative

float crawlservpp::Data::SentimentScores::negative {}

Negative sentiment.

The positive, neutral, and negative scores are ratios for proportions of text that fall in each category (so these should all add up to be 1... or close to it with float operation).

These are the most useful metrics if you want multidimensional measures of sentiment for a given sentence.

See also

positive, neutral

neutral

float crawlservpp::Data::SentimentScores::neutral {}

Neutral sentiment.

The positive, neutral, and negative scores are ratios for proportions of text that fall in each category (so these should all add up to be 1... or close to it with float operation).

These are the most useful metrics if you want multidimensional measures of sentiment for a given sentence.

See also

positive, negative

positive

float crawlservpp::Data::SentimentScores::positive {}

Positive sentiment.

The positive, neutral, and negative scores are ratios for proportions of text that fall in each category (so these should all add up to be 1... or close to it with float operation).

These are the most useful metrics if you want multidimensional measures of sentiment for a given sentence.

See also

neutral, negative

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The documentation for this struct was generated from the following file:

• Data/Sentiment.hpp