# Bing Liu

> Chinese-American computer scientist

**Wikidata**: [Q18719199](https://www.wikidata.org/wiki/Q18719199)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Bing_Liu_(computer_scientist))  
**Source**: https://4ort.xyz/entity/bing-liu

## Summary
Bing Liu is a Chinese-American computer scientist and university professor known for his pioneering work in sentiment analysis, data mining, and opinion spam detection. He is an ACM Fellow and AAAI Fellow, recognized for developing widely used algorithms and techniques in natural language processing and Web mining.

## Biography
- **Born**: 1963
- **Nationality**: United States
- **Education**: Ph.D. from the University of Edinburgh (doctoral advisor: Austin Tate)
- **Known for**: Contributions to sentiment analysis, opinion mining, and data mining
- **Employer(s)**: National University of Singapore, University of Illinois Chicago
- **Field(s)**: Computer science, artificial intelligence, natural language processing

## Contributions
Bing Liu is a leading figure in sentiment analysis and opinion mining, with foundational work in developing algorithms to extract subjective information from text. His research includes:
- **Sentiment Analysis**: Pioneered techniques for identifying and classifying opinions in text, enabling applications in social media monitoring, product reviews, and customer feedback analysis.
- **Opinion Spam Detection**: Developed methods to detect fake reviews and deceptive opinions, improving trust in online platforms.
- **Data Mining**: Contributed to knowledge discovery and Web mining, with algorithms widely adopted in industry and academia.
- **Publications**: Authored influential papers and books, including *Sentiment Analysis and Opinion Mining* (2012), a seminal work in the field.
- **Academic Leadership**: Supervised numerous Ph.D. students (e.g., Minqing Hu, Arjun Mukherjee) and collaborated with institutions like the University of Illinois Chicago and National University of Singapore.

## FAQs
### Q: What is Bing Liu known for?
A: Bing Liu is known for his work in sentiment analysis, opinion mining, and data mining, particularly in developing algorithms to analyze subjective text and detect opinion spam.

### Q: Where does Bing Liu work?
A: He is affiliated with the National University of Singapore and the University of Illinois Chicago.

### Q: What awards has Bing Liu received?
A: He is an ACM Fellow (2015) and AAAI Fellow (2016), recognized for contributions to data mining and sentiment analysis.

### Q: What is Bing Liu's educational background?
A: He earned his Ph.D. from the University of Edinburgh under the supervision of Austin Tate.

### Q: What are some of Bing Liu's key publications?
A: His book *Sentiment Analysis and Opinion Mining* (2012) is a foundational text in the field, and he has published extensively on Web mining and opinion spam detection.

## Why They Matter
Bing Liu's work has fundamentally shaped the field of sentiment analysis, enabling machines to understand human opinions at scale. His algorithms are used in industries ranging from e-commerce to social media, helping businesses and researchers analyze vast amounts of textual data. Without his contributions, modern tools for detecting fake reviews, analyzing customer feedback, and monitoring public sentiment would be far less advanced. His academic leadership has also trained a generation of researchers in data mining and NLP.

## Notable For
- **ACM Fellow (2015)**: Awarded for contributions to knowledge discovery, data mining, and sentiment analysis.
- **AAAI Fellow (2016)**: Recognized for advancements in data mining and opinion spam detection.
- **Pioneer in Sentiment Analysis**: Developed widely adopted techniques for opinion mining.
- **Author of *Sentiment Analysis and Opinion Mining*** (2012), a key textbook in the field.
- **Doctoral Advisor**: Mentored multiple Ph.D. students who have contributed to AI and data mining.

## Body
### Early Life and Education
- Born in 1963.
- Earned his Ph.D. from the University of Edinburgh, with Austin Tate as his doctoral advisor.
- Thesis: *Reinforcement Planning for Resource Allocation and Constraint Satisfaction*.

### Career and Research
- **Sentiment Analysis**: Liu's work in sentiment analysis involves using natural language processing to identify subjective information in text. His research has been applied to product reviews, social media, and customer feedback systems.
- **Opinion Spam Detection**: Developed algorithms to detect fake reviews and deceptive opinions, addressing challenges in online trust and credibility.
- **Data Mining**: Contributed to knowledge discovery and Web mining, with techniques adopted in both academic research and industry applications.
- **Academic Roles**: Held positions at the University of Illinois Chicago and the National University of Singapore. Supervised Ph.D. students including Minqing Hu, Arjun Mukherjee, and Zhiyuan (Brett) Chen.

### Awards and Recognition
- **ACM Fellow (2015)**: Cited for "contributions to knowledge discovery and data mining, opinion mining, and sentiment analysis."
- **AAAI Fellow (2016)**: Recognized for "significant contributions to data mining and development of widely used sentiment analysis, opinion spam detection, and Web mining algorithms."

### Publications and Influence
- Authored *Sentiment Analysis and Opinion Mining* (2012), a foundational textbook.
- Published extensively in top-tier conferences and journals on data mining, NLP, and Web mining.
- His work is widely cited, influencing both academic research and commercial applications in AI and data science.

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## References

1. Mathematics Genealogy Project
2. [Source](https://www.cs.uic.edu/~liub/)
3. [Source](https://www.acm.org/media-center/2015/december/fellows-2015)
4. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
5. [Source](https://viaf.org/viaf/data/viaf-20230206-links.txt.gz)
6. Virtual International Authority File
7. [E-Theses Online Service](http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328739)
8. CONOR.SI
9. National Library of Israel Names and Subjects Authority File