Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques (Cogn Comput, 10.1007/s12559-016-9415-7)

Kia Dashtipour, Soujanya Poria, Amir Hussain, Erik Cambria, Ahmad Y.A. Hawalah, Alexander Gelbukh, Qiang Zhou

Research output: Contribution to journalComment/debate

4 Scopus citations

Abstract

With the advent of the internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted to English language data, while a great share of information is available in other languages. We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing state-of-the-art approaches on common data. Precision observed in our experiments is typically lower than that reported by the original authors, which we attribute to lack of detail in the original presentation of those approaches. Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results.

Original languageEnglish
Pages (from-to)772-775
Number of pages4
JournalCognitive Computation
Volume8
Issue number4
DOIs
StatePublished - 1 Aug 2016

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