Eric Gilbert
Biographic Data
| ID | 3620394 |
|---|---|
| NAME | Eric Gilbert |
| GIVEN NAMES | Eric |
| FAMILY NAME | Gilbert |
| SIGNATURE | GILBERT E |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0002-3047-7059 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2014 |
| H-INDEX | 2 |
Vader: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
The inherent nature of social media content poses serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-practice benchmarks including LIWC, ANEW, the General Inquirer, SentiWordNet, and machine learning oriented techniques relying on Naive Bayes, Maximum Entropy, and Support Vector Machine (SVM) algori…
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
The Network in the Garden: Designing Social Media for Rural Life
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. The model builds on a dataset of over 2,000 soci…
Tentative de représentation de quelques modaux de l'anglais
International audience
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
The Network in the Garden: Designing Social Media for Rural Life
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
Tentative de représentation de quelques modaux de l'anglais
International audience
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic social science has investigated for decades under the theme of tie strength. Our work bridges this gap between theory and practice. In this paper, we present a predictive model that maps social media data to tie strength. The model builds on a dataset of over 2,000 soci…
Widespread Worry and the Stock Market
Our emotional state influences our choices. Research on how it happens usually comes from the lab. We know relatively little about how real world emotions affect real world settings, like financial markets. Here, we demonstrate that estimating emotions from weblogs provides novel information about future stock market prices. That is, it provides information not already apparent from market data. Specifically, we estimate anxiety, worry and fear f…
The Network in the Garden: Designing Social Media for Rural Life
History repeatedly demonstrates that rural communities have unique technological needs. Yet little is known about how rural communities use modern technologies, which therefore results in a collective lack knowledge about how to design for rural life. To address this gap, the present empirical article investigates behavioral differences between more than 3,000 rural and urban social media users. With a data set collected from a broadly popular so…
Vader: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
The inherent nature of social media content poses serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-practice benchmarks including LIWC, ANEW, the General Inquirer, SentiWordNet, and machine learning oriented techniques relying on Naive Bayes, Maximum Entropy, and Support Vector Machine (SVM) algori…
Computer Science (3 works) · Psychology (3 works) · Social media (3 works) · Social Psychology (3 works) · Complex Network Analysis Techniques (2 works) · Opinion Dynamics and Social Influence (2 works) · Political science (2 works) · Social Media and Politics (2 works) · World Wide Web (2 works) · Affect (linguistics (1 works)