Papers by Antonio Moreno-Ortiz

2 papers
Lingmotif-lex: a Wide-coverage, State-of-the-art Lexicon for Sentiment Analysis (L18-1)

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Challenge: Sentiment Analysis is a subtask of Natural Language Processing.
Approach: They propose a new, domain-neutral lexicon for sentiment analysis in English . they test it on two publicly available sentiment analysis datasets .
Outcome: The proposed lexicon performs better than existing sentiment lexiconics on two publicly available datasets.
Design and Evaluation of SentiEcon: a fine-grained Economic/Financial Sentiment Lexicon from a Corpus of Business News (2020.lrec-1)

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Challenge: SentiEcon is a large, comprehensive, domain-specific computational lexicon designed for sentiment analysis applications.
Approach: They describe a large, comprehensive, domain-specific computational lexicon designed for sentiment analysis applications.
Outcome: The proposed lexicon significantly improves when adding sentiment words to the general-language sentiment lexiconic.

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