Fangzhao Wu

According to our database1, Fangzhao Wu authored at least 27 papers between 2013 and 2018.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Domain attention model for multi-domain sentiment classification.
Knowl.-Based Syst., 2018

A hybrid unsupervised method for aspect term and opinion target extraction.
Knowl.-Based Syst., 2018

Neural Chinese Word Segmentation with Dictionary Knowledge.
CoRR, 2018

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Neural Chinese Word Segmentation with Dictionary Knowledge.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

2017
Collaboratively Training Sentiment Classifiers for Multiple Domains.
IEEE Trans. Knowl. Data Eng., 2017

Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources.
Information Fusion, 2017

Sentence-level Sentiment Classification with Weak Supervision.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

Active Sentiment Domain Adaptation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Microblog sentiment classification with heterogeneous sentiment knowledge.
Inf. Sci., 2016

Co-detecting social spammers and spam messages in microblogging via exploiting social contexts.
Neurocomputing, 2016

Structured microblog sentiment classification via social context regularization.
Neurocomputing, 2016

Towards building a high-quality microblog-specific Chinese sentiment lexicon.
Decision Support Systems, 2016

Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sentiment Domain Adaptation with Multiple Sources.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Personalized Microblog Sentiment Classification via Multi-Task Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Collaborative Multi-domain Sentiment Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Microblog Sentiment Classification with Contextual Knowledge Regularization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media.
IEEE Trans. Vis. Comput. Graph., 2014

Ranking Optimization with Constraints.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Lead-lag analysis via sparse co-projection in correlated text streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Review rating prediction based on the content and weighting strong social relation of reviewers.
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, 2013


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