Lexicon Expansion System for Domain and Time Oriented Sentiment Analysis

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Guimaraes, N (Autor) Outra; Torgo, L (Autor) FCUP; Figueira, A (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9 - 11, 2016.

Páginas: 463-471

Indexação

ISI Web of Knowledge - 2 Citações

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00M-7K3

DOI: 10.5220/0006081704630471

Abstract (EN): In sentiment analysis the polarity of a text is often assessed recurring to sentiment lexicons, which usually consist of verbs and adjectives with an associated positive or negative value. However, in short informal texts like tweets or web comments, the absence of such words does not necessarily indicates that the text lacks opinion. Tweets like "First Paris, now Brussels... What can we do?" imply opinion in spite of not using words present in sentiment lexicons, but rather due to the general sentiment or public opinion associated with terms in a specific time and domain. In order to complement general sentiment dictionaries with those domain and time specific terms, we propose a novel system for lexicon expansion that automatically extracts the more relevant and up to date terms on several different domains and then assesses their sentiment through Twitter. Experimental results on our system show an 82% accuracy on extracting domain and time specific terms and 80% on correct polarity assessment. The achieved results provide evidence that our lexicon expansion system can extract and determined the sentiment of terms for domain and time specific corpora in a fully automatic form.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9