Tracking geographical locations using a geo-aware topic model for analyzing social media data
نویسندگان
چکیده
منابع مشابه
Context-Aware Topic Modeling for Content Tracking in Social Media
Content in social media is difficult to analyse because of its short and informal feature. Fortunately, some social media data like tweets have rich hashtags information, which can help identify meaningful topic information. More importantly, hashtags can express the context information of a tweet better. To enhance the significant effect of hashtags via topic variables, this paper, we propose ...
متن کاملCollege Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations
In this paper, we explore the potential of geo-social media to construct location-based interest profiles to uncover the hidden relationships among disparate locations. Through an investigation of millions of geotagged Tweets, we construct a per-city interest model based on fourteen high-level categories (e.g., technology, art, sports). These interest models support the discovery of related loc...
متن کاملTargeted Out-door Advertising Using Geo-Social Media Data
Exploring new techniques of targeted advertising across public spaces has attracted considerable attention. This research demonstrates a novel way of identifying suitable location and time for targeted advertising using geo-social media, by using London Underground stations as case study. The number of target users are estimated by integrating the passenger counts data and topic of interests fr...
متن کاملAnalyzing Behavioral Markers of Autistic Children Using Eye Tracking Data
Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that occurs in the early years of life and is characterized by social impairment, verbal and non-verbal communication difficulties as well as stereotypical behaviors. Rehabilitating autistic children at the early stages of growth, in which their brain is highly flexible, yields to enhanced treatment process and provid...
متن کاملTopic Tracking Model for Analyzing Consumer Purchase Behavior
We propose a new topic model for tracking timevarying consumer purchase behavior, in which consumer interests and item trends change over time. The proposed model can adaptively track changes in interests and trends based on current purchase logs and previously estimated interests and trends. The online nature of the proposed method means we do not need to store past data for current inferences...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Decision Support Systems
سال: 2017
ISSN: 0167-9236
DOI: 10.1016/j.dss.2017.05.006