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Latent geographic feature extraction from social media

Christian Sengstock, Michael Gertz
2012 Proceedings of the 20th International Conference on Advances in Geographic Information Systems - SIGSPATIAL '12  
In this work we present a framework for the unsupervised extraction of latent geographic features from georeferenced social media.  ...  Our goal is to extract a small number of informative geographic features from social media, to describe and explore geographic space, and for subsequent spatial analysis, e.g., in market research.  ...  To accomplish this, we study the unsupervised extraction of latent geographic features from georeferenced social media using dimensionality reduction.  ... 
doi:10.1145/2424321.2424342 dblp:conf/gis/SengstockG12 fatcat:lj42bhjwqraw5crtt57wlbtgxi

Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a survey [article]

Hamed Jelodar, Yongli Wang, Chi Yuan, Xia Feng, Xiahui Jiang, Yanchao Li, Liang Zhao
2018 arXiv   pre-print
There are various methods for topic modeling, which Latent Dirichlet allocation (LDA) is one of the most popular methods in this field.  ...  Topic modeling is one of the most powerful techniques in text mining for data mining, latent data discovery, and finding relationships among data, text documents.  ...  and extract the features that can represent from article sources.  ... 
arXiv:1711.04305v2 fatcat:jzsx6owjyjfo3gkbohrc2ggkzq

GLOCAL

Pierre Andrews, Vanessa Murdock, Adam Rae, Francesco De Natale, Sven Buschbeck, Anthony Jameson, Kerstin Bischoff, Claudiu S. Firan, Claudia Niederée, Vasileios Mezaris, Spiros Nikolopoulos
2012 Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion  
For this purpose methods for event detection and event matching as well as media analysis are developed. Considered events range from private, over local, to global events.  ...  goals, so as to be able to compare the associated media.  ...  Such an analysis requires performing a wide range of processing steps on the media content, such as the extraction of discriminative features from images, videos and audio files; the decomposition of the  ... 
doi:10.1145/2187980.2188013 dblp:conf/www/AndrewsNBJBFNMNMR12 fatcat:zhksq5dnorexvmf5ynpd4ez4iq

Disentangling the Lexicons of Disaster Response in Twitter

Nathan O. Hodas, Greg Ver Steeg, Joshua Harrison, Satish Chikkagoudar, Eric Bell, Courtney D. Corley
2015 Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion  
Because emergency officials have come to rely on social media to communicate alerts and updates, they must learn how users communicate disaster related content on social media.  ...  People around the world use social media platforms such as Twitter to express their opinion and share activities about various aspects of daily life.  ...  The CorEx results enable us to show which words in the corpus are most predictive of the latent feature, and thus may communicate the intent of the latent feature most clearly.  ... 
doi:10.1145/2740908.2741728 dblp:conf/www/HodasSHCBC15 fatcat:nttkecjr6ne7fopuadc6tbjaqy

Automatic Crime Prediction Using Events Extracted from Twitter Posts [chapter]

Xiaofeng Wang, Matthew S. Gerber, Donald E. Brown
2012 Lecture Notes in Computer Science  
Although promising, these models do not take into account the rich and rapidly expanding social media context that surrounds incidents of interest.  ...  Our approach is based on the automatic semantic analysis and understanding of natural language Twitter posts, combined with dimensionality reduction via latent Dirichlet allocation and prediction via linear  ...  Furthermore, the feature-based representation permits the addition of information such as that extracted from social media services.  ... 
doi:10.1007/978-3-642-29047-3_28 fatcat:t6tbrsnifvdbriw6nooimgcc4e

Regionalization of Social Interactions and Points-of-Interest Location Prediction With Geosocial Data

Achilleas Psyllidis, Jie Yang, Alessandro Bozzon
2018 IEEE Access  
Social media records incorporate geo-tags, timestamps, textual components, user-profile attributes and points-of-interest (POI) features, which respectively address spatial, temporal, topical, demographic  ...  dynamics from unstructured and high-dimensional social web data.  ...  The detected groups in the feature maps are linked back to geographical maps to extract the latent structure of social interactions.  ... 
doi:10.1109/access.2018.2850062 fatcat:hnd7rpbhkzf3xmmcm5sowu4miq

Poisson Factorization Models for Spatiotemporal Retrieval

Eliezer de Souza da Silva, Dirk Ahlers
2017 Proceedings of the 11th Workshop on Geographic Information Retrieval - GIR'17  
The inclusion of thematic and location features in a joint factorization model allows location to be modeled as a first-class feature and can improve a range of tasks in geographic information retrieval  ...  New retrieval models promise deeper integration of multiple features and sources of information.  ...  media, location traces, etc.  ... 
doi:10.1145/3155902.3155912 dblp:conf/gir/SilvaA17 fatcat:zrca3zetgzfxhgngfsjd5iedby

A Geographical Factor of Interest Recommended Strategies in Location Based Social Networks

Bulusu Rama, K Sai Prasad, Ayesha Sultana, K Shekar
2018 International Journal of Engineering & Technology  
information-based consumer modeling, spatial-temporal information-based consumer modeling, and geo-social information-based consumer modeling.  ...  LBSNs records used to be completely used in buyer displaying forms for POI proposals, we separate client demonstrating calculations into four classifications: pure check-in data-based consumer modeling, geographical  ...  Moreover, [14] exploited the geographical, social data and aspects extracted from person reviews to higher model user preferences, then built a novel heterogeneous plan by way of fusing three kinds of  ... 
doi:10.14419/ijet.v7i3.27.17649 fatcat:xbhdedvfkbe6tgacryx7fbwyke

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning

Ying Wei, Yin Zhu, Cane Leung, Yangqiu Song, Qiang Yang
2016 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
This rich set of socially shared activities motivates us to transfer knowledge from social media to address the sparsity issue of labelled physical sensor data.  ...  Meanwhile, social media platforms provide a lot of social or semantic context information. People share what they are doing and where they are frequently in the messages they post.  ...  On the other hand, some recent studies on extracting human activities (Song et al. 2013 ) and events (Ritter et al. 2015) from social media have been reported.  ... 
doi:10.1609/aaai.v30i1.10172 fatcat:yorxb5tc7bdsfoz72h4q6tkha4

Visualizing Contextual and Dynamic Features of Micropost Streams

Alexander Hubmann-Haidvogel, Adrian M. P. Brasoveanu, Arno Scharl, Marta Sabou, Stefan Gindl
2012 Workshop on Making Sense of Microposts  
We describe a visual analytics platform to handle highvolume micropost streams from multiple social media channels.  ...  Visual techniques provide an intuitive way of making sense of the large amounts of microposts available from social media sources, particularly in the case of emerging topics of interest to a global audience  ...  ., a collection of Web documents crawled from relevant sources). The advanced data mining techniques underlying the platform extract a variety of contextual features from the document space.  ... 
dblp:conf/msm/Hubmann-HaidvogelBSSG12 fatcat:by3ws4nnjnh4hkz7ooja675pni

A graph-based approach for population health analysis using Geo-tagged tweets

Hung Nguyen, Thin Nguyen, Duc Thanh Nguyen
2020 Multimedia tools and applications  
In our approach, graphs are created to model the interactions between features and between tweets in social media.  ...  We propose in this work a graph-based approach for automatic public health analysis using social media.  ...  Conventional social media-based health analysis methods extract health-related information from the content of the social media data, e.g., from textual features [14, 15] or built via relationships between  ... 
doi:10.1007/s11042-020-10034-0 pmid:33132740 pmcid:PMC7585996 fatcat:tiujk5utojezzpput3pntygsvu

Research on event perception based on geo-tagged social media data

Ruoxin Zhu, Chenyu Zuo, Diao Lin
2019 Proceedings of the ICA  
However, event study based on social media is still in its infancy. This paper provides an overview of event study based on geo-tagged social media data.  ...  How to perceive an event through social media data has triggered a series of researches. Currently, we can find when, where what happened and induced impact based on geo-tagged social media data.  ...  Feature-pivot detection methods are more suitable for realtime event detection. Its core objective is to find bursty features from social media streams and cluster them.  ... 
doi:10.5194/ica-proc-2-157-2019 fatcat:i2vo6okebvfgjl5xuiid235a3m

Natural Language Processing Empowered Mobile Computing

Tianyong Hao, Raymond Wong, Zhe He, Haoran Xie, Tak-Lam Wong, Fu Lee Wang
2018 Wireless Communications and Mobile Computing  
visualization, social network analysis, Latent Dirichlet Allocation, and affinity propagation clustering, to discover the status of research efforts and the trend of the topic. e paper can potentially  ...  scholarly publications on the topic of natural language processing empowered mobile computing in the last ten years. e authors applied a number of analytical techniques including descriptive statistics, geographic  ...  reported the most desirable mode for acquiring professional medical knowledge through WeChat from data analysis. e paper advocates both academia and industry to pay more attention to social media such  ... 
doi:10.1155/2018/9130545 fatcat:o7tvmtuzhrf3tb2j364lale4mm

Semantic-aware Visual Abstraction of Large-scale Social Media Data with Geo-Tags

Zhiguang Zhou, Xinlong Zhang, Xiaoyun Zhou, Yuhua Liu
2019 IEEE Access  
However, the visual elements of social media data always overlap with each other in the map view, which largely disturbs visual perception of semantic features and their geographical distribution.  ...  With the rapid growth of geo-tagged social media data, it has become feasible to explore topics across different areas through text mining and geographical visualization.  ...  The first expert commended that '' With the increasing size of social media data, it is difficult to extract valuable information from original geographical visualization.  ... 
doi:10.1109/access.2019.2935471 fatcat:l5e65ynrtvdkfbhblpvmln2adq

Shop-Type Recommendation Leveraging the Data from Social Media and Location-Based Services

Zhiwen Yu, Miao Tian, Zhu Wang, Bin Guo, Tao Mei
2016 ACM Transactions on Knowledge Discovery from Data  
Shop-type recommendation leveraging the data from social media and location-based services.  ...  Features are defined and extracted from two perspectives: location, where features are closely related to location characteristics, and commercial, where features are about the relationships between shops  ...  We collect shop data from social media (Dianping) and associate it with spatial data crawled from an LBS (Baidu LBS).  ... 
doi:10.1145/2930671 fatcat:bohiln4nijgcrlgqbesros6gui
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