Abstract
The 3rd ACM SIGSPATIAL Workshop on Analytics for Local Events and News (LENS 2019) was held in conjunction with the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2019). The workshop is intended to bring together experts in the workshop scope to exchange ideas on opportunities, challenges and cutting-edge techniques for local events and news analytics. The workshop has attracted ten submissions, all full-length research papers. Six submissions were accepted for publications; with 60% acceptance rate. The papers are reviewed by 7 program committee members, where each paper is assigned to two reviewers. Total 8 attendants registered for the workshop. The actual number of attendants along the day fluctuated from 8 to 12, with an average of 9 attendants maintained almost all the time. The paper titled DeepSpot: Understanding Online Opinion Spam by Text Augmentation using Sentiment Encoder-Decoder Networks , by Avik Nayak, Haiquan Chen, Xiaojun Ruan, and Jinsong Ouyang was awarded the best paper award. The paper titled Scalable Community Detection over Geo-Social Network , by Xiuwen Zheng, Qiyu Liu, and Amarnath Gupta was awarded the best presentation award. The workshop has achieved its goal in bringing up together experts and conducted a set of productive discussions and talks.
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