Lei Guo

Affiliations:
  • Boston University, Department of Computer Science, College of Communication, MA, USA


According to our database1, Lei Guo authored at least 11 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
BU-NEmo: an Affective Dataset of Gun Violence News.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

An Unsupervised Approach to Discover Media Frames.
Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, 2022

Prediction of People's Emotional Response towards Multi-modal News.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

OpenFraming: Open-sourced Tool for Computational Framing Analysis of Multilingual Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames.
CoRR, 2020

Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets.
CoRR, 2020

Multi-Label and Multilingual News Framing Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
BUOCA: Budget-Optimized Crowd Worker Allocation.
CoRR, 2019

Detecting Frames in News Headlines and Its Application to Analyzing News Framing Trends Surrounding U.S. Gun Violence.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2016
Dynamic Allocation of Crowd Contributions for Sentiment Analysis during the 2016 U.S. Presidential Election.
CoRR, 2016


  Loading...