A Bootstrapping Algorithm for Learning the Polarity of Words

Nuno Miguel Cavalheiro Marques

doi:10.1007/978-3-642-28885-2_26

A Bootstrapping Algorithm for Learning the Polarity of Words

Nuno Miguel Cavalheiro Marques

DI - Departamento de Informática

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Polarity lexicons are lists of words (or meanings) where each entry is labelled as positive, negative or neutral. These lists are not available for different languages and specific domains. This work proposes and evaluates a new algorithm to classify words as positive, negative or neutral, relying on a small seed set of words, a common dictionary and a propagation algorithm. We evaluate the positive and negative polarity propagation of words, as well as the neutral polarity. The propagation is evaluated with different settings and lexical resources.

Original language	Unknown
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	229-234
ISBN (Electronic)	978-3-642-28885-2
DOIs	https://doi.org/10.1007/978-3-642-28885-2_26
Publication status	Published - 1 Jan 2012
Event	PROPOR - Computational Processing of the Portuguese Language - Duration: 1 Jan 2012 → …

Conference

Conference	PROPOR - Computational Processing of the Portuguese Language
Period	1/01/12 → …

Access to Document

10.1007/978-3-642-28885-2_26

Cite this

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title = "A Bootstrapping Algorithm for Learning the Polarity of Words",

abstract = "Polarity lexicons are lists of words (or meanings) where each entry is labelled as positive, negative or neutral. These lists are not available for different languages and specific domains. This work proposes and evaluates a new algorithm to classify words as positive, negative or neutral, relying on a small seed set of words, a common dictionary and a propagation algorithm. We evaluate the positive and negative polarity propagation of words, as well as the neutral polarity. The propagation is evaluated with different settings and lexical resources.",

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AB - Polarity lexicons are lists of words (or meanings) where each entry is labelled as positive, negative or neutral. These lists are not available for different languages and specific domains. This work proposes and evaluates a new algorithm to classify words as positive, negative or neutral, relying on a small seed set of words, a common dictionary and a propagation algorithm. We evaluate the positive and negative polarity propagation of words, as well as the neutral polarity. The propagation is evaluated with different settings and lexical resources.

KW - polarity lexicon

KW - opinion mining

KW - sentiment analysis

KW - lexicon expansion

KW - polarity of words

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DO - 10.1007/978-3-642-28885-2_26

M3 - Conference contribution

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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