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This project includes the codes and data for our LeadLDA model targeting to extract topics from short and colloquial microblog messages. More details can be found in our paper published in ACL 2016 titled as "Topic Extraction from Microblog Posts Using Conversation Structures".

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leadlda

This project includes the codes and data for LeadLDA model targeting to extract topics from short and colloquial microblog messages. More details can be found in our paper published in ACL 2016 titled as "Topic Extraction from Microblog Posts Using Conversation Structures".

If you would like to use the code or dataset in this project, please cite the following paper:

@inproceedings{DBLP:conf/acl/LiLGHW16, author = {Jing Li and Ming Liao and Wei Gao and Yulan He and Kam{-}Fai Wong}, title = {Topic Extraction from Microblog Posts Using Conversation Structures}, booktitle = {Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, {ACL} 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers}, year = {2016} }

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This project includes the codes and data for our LeadLDA model targeting to extract topics from short and colloquial microblog messages. More details can be found in our paper published in ACL 2016 titled as "Topic Extraction from Microblog Posts Using Conversation Structures".

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