TechRxiv
Analysis of Sentiment Analysis Research Trends using Text Mining_SeohyunKim.pdf (206.92 kB)
Download file

Analysis of Sentiment Analysis Research Trends using Text Mining

Download (206.92 kB)
preprint
posted on 2023-01-23, 05:18 authored by Seohyun KimSeohyun Kim

Recently, sentiment analysis is actively researched in the field of natural language processing because of the expansion of computer science and social media. However, sentiment analysis has a wide range of applications and it might be challenging for individual researchers to review and comprehend the trends of the studies. Therefore, this study suggests trends in sentiment analysis research to help sentiment analysis researchers. The sources of data collection are Google Scholar and Scopus. As a result, studies using various modalities, researching the change from a particular event and based on language itself have been explored actively in recent years.

History

Email Address of Submitting Author

seohyun03@hanyang.ac.kr

Submitting Author's Institution

Hanyang University

Submitting Author's Country

  • Korea, Republic of (South Korea)

Usage metrics

    Exports