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Measuring Crowd Mood in City Space Through Twitter.

, , , , , , and . W2GIS, volume 9080 of Lecture Notes in Computer Science, page 37-49. Springer, (2015)

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Crowd-Powered TV Viewing Rates: Measuring Relevancy between Tweets and TV Programs., , and . DASFAA Workshops, volume 6637 of Lecture Notes in Computer Science, page 390-401. Springer, (2011)Visualyre: multimodal album art generation for independent musicians., , , , , and . Pers. Ubiquitous Comput., 27 (5): 1861-1872 (October 2023)Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation., , , , , , , , , and 2 other author(s). CoRR, (2023)Density Estimation for Geolocation via Convolutional Mixture Density Network., , and . CoRR, (2017)Complaints with Target Scope Identification on Social Media., , , , and . Informatica (Slovenia), (2023)Modeling and Predicting Fake News Spreading on Twitter., , , and . CoRR, (2020)J-MeDic: A Japanese Disease Name Dictionary based on Real Clinical Usage., , , , , and . LREC, European Language Resources Association (ELRA), (2018)Towards better TV viewing rates: exploiting crowd's media life logs over Twitter for TV rating., , and . ICUIMC, page 39. ACM, (2011)Social-Urban Neighborhood Search Based on Crowd Footprints Network., , and . SocInfo, volume 8238 of Lecture Notes in Computer Science, page 429-442. Springer, (2013)Extracting Spatio-Temporal Trends in Medical Research Prioritization Through Natural Language Processing of Case Report Abstracts., , , and . MedInfo, volume 310 of Studies in Health Technology and Informatics, page 634-638. IOS Press, (2023)