Kongming Meng

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2018

pdf bib
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets
Meng Li | Zhenyuan Dong | Zhihao Fan | Kongming Meng | Jinghua Cao | Guanqi Ding | Yuhan Liu | Jiawei Shan | Binyang Li
Proceedings of the 12th International Workshop on Semantic Evaluation

This paper presents a UIR-Miner system for emotion and sentiment analysis evaluation in Twitter in SemEval 2018. Our system consists of three main modules: preprocessing module, stacking module to solve the intensity prediction of emotion and sentiment, LSTM network module to solve multi-label classification, and the hierarchical attention network module for solving emotion and sentiment classification problem. According to the metrics of SemEval 2018, our system gets the final scores of 0.636, 0.531, 0.731, 0.708, and 0.408 on 5 subtasks, respectively.
Search
Co-authors
Venues
Fix data