TY - JOUR
T1 - Multilingual Sentiment Analysis
T2 - State of the Art and Independent Comparison of Techniques
AU - Dashtipour, Kia
AU - Poria, Soujanya
AU - Hussain, Amir
AU - Cambria, Erik
AU - Hawalah, Ahmad Y.A.
AU - Gelbukh, Alexander
AU - Zhou, Qiang
N1 - Publisher Copyright:
© 2016, The Author(s).
PY - 2016/8/1
Y1 - 2016/8/1
N2 - With the advent of 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 approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the 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.
AB - With the advent of 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 approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the 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.
KW - Artificial intelligence
KW - Natural language processing
KW - Opinion mining
KW - Sentic computing
KW - Sentiment Analysis
UR - http://www.scopus.com/inward/record.url?scp=84973091477&partnerID=8YFLogxK
U2 - 10.1007/s12559-016-9415-7
DO - 10.1007/s12559-016-9415-7
M3 - Artículo
AN - SCOPUS:84973091477
SN - 1866-9956
VL - 8
SP - 757
EP - 771
JO - Cognitive Computation
JF - Cognitive Computation
IS - 4
ER -