A check on annotation in sentiment research

0Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The research literature on sentiment analysis methodologies has exponentially grown in recent years. In any research area, where new concepts and techniques are constantly introduced, it is, therefore, of interest to analyze the latest trends in this literature. In particular, we have chosen to primarily focus on the literature of the last five years, on annotation methodologies, including frequently used datasets and from which they were obtained. Based on the survey, it appears that researchers do more manual annotation in the formation of sentiment corpus. As for the dataset, there are still many uses of English language taken from social media such as Twitter. In this area of research, there are still many that need to be explored, such as the use of semi-automatic annotation method that is still very rarely used by researchers. Also, less popular languages, such as Malay, Korean, Japanese, and so on, still require corpus for sentiment analysis research.

Cite

CITATION STYLE

APA

Rumaisa, F., Basiron, H., & Saaya, Z. (2019). A check on annotation in sentiment research. International Journal of Recent Technology and Engineering, 8(2 Special Issue 8), 1346–1350. https://doi.org/10.35940/ijrte.B1065.0882S819

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free