Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 757-771 |
| Number of pages | 15 |
| Journal | Cognitive Computation |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Aug 2016 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016, The Author(s).
Keywords
- Artificial intelligence
- Natural language processing
- Opinion mining
- Sentic computing
- Sentiment Analysis
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Computer Science Applications
- Cognitive Neuroscience
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