National Sun Yat-sen University / Professor San-Yih Hwang

As textual data continues to grow, analyzing the content embedded within text—whether for public opinion analysis, internal corporate knowledge management, or academic qualitative research—has become increasingly important. In the past, text analysis typically required programming skills, making it difficult for people without technical backgrounds to get started. Our platform automates the entire text analysis process through a no-code interface, enabling non-technical personnel to use it with ease. As a result, whether conducting public opinion analysis, sentiment analysis, or topic classification, tasks can be completed quickly, saving significant time and labor while making text mining technology truly applicable to everyday work.

 Technology Introduction 

We have integrated common text analysis tools and designed them into a simple drag-and-drop interface that is very intuitive to use. Additionally, through partnerships with external data collection vendors, we can access multiple data sources, such as Facebook, Instagram, forums, and news outlets. This data can be used for applications like sentiment analysis of public opinion and topic classification. In recent years, we have also incorporated Large Language Model (LLM) technology, which enables more flexible assistance in data analysis.

▲Caption: Text Mining Workflow Design Platform

 Application Examples 

This platform has been used to analyze various types of textual data, including:
1.    Analysis of posts across PTT discussion boards to identify users' opinion on specific events. 
2.    Analysis of restaurant reviews on Google Maps to discover consumer preferences and pain points, thereby informing adjustments to business strategies.
3.    Analysis of Facebook group posts to identify market demand for English and programming education.
4.    Analysis of interview transcripts.

 Related Links 

https://tarflow.mis.nsysu.edu.tw/

 Patent Name and Number 

HANG SAN-YIH, CHANG CHIA-MING, TSAI YIHANG, CHIN CHUNG-CHIEH: METHON AND SYSTEM FOR PROVIDING EDITING OF TEXT MINING WORKFLOW, R.O.C. Patent I811179, 2023/8/1~2043/2/8

 Industry-Academia / Tech Transfer Partner 

Industry-Academia: JINHER INFO. CO., LTD 

 Honors and Awards  

None

 Technical Contact  

Industrial Liaison Office, National Sun Yat-sen University
Tel: +886 7-5250165
Email: gloria@mail.nsysu.edu.tw