Discovering geographical topics in the twitter stream

Author:

Hong Liangjie1,Ahmed Amr2,Gurumurthy Siva3,Smola Alexander J.2,Tsioutsiouliklis Kostas3

Affiliation:

1. Lehigh University, Bethlehem, PA, USA

2. Yahoo! Research, Sunnyvale, CA, USA

3. Twitter, San Francisco, CA, USA

Publisher

ACM Press

Cited by 164 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Topic Models with Sentiment Priors Based on Distributed Representations;Journal of Mathematical Sciences;2023-06-24

2. IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets;Information Processing & Management;2023-05

3. Using geospatial social media data for infectious disease studies: a systematic review;International Journal of Digital Earth;2023-01-03

4. Learning to Process Topic Aware Queries on Geo-Textual Streaming Data;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

5. Twitter-aided decision making: a review of recent developments;Applied Intelligence;2022-02-26

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