[PDF] Top 20 A Stacking based Approach to Twitter User Geolocation Prediction
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A Stacking based Approach to Twitter User Geolocation Prediction
... areas. Based on this observa- tion, Roller et ...users, based on a KD- tree ...city- based class division, and explore different feature selection methods to extract “location indicative words”, ... See full document
6
pigeo: A Python Geotagging Tool
... users based on the loca- tion of their friends, hence popularising network- based geolocation ...built based on Facebook friendship (Backstrom et al., 2010), Twitter follows (Rout et ... See full document
6
Deep Tweets Analyzer Model for Twitter Mood Visualization and Prediction Based Deep Learning Approach
... using Twitter data. They have used data from Geo-Twitter to analyze the reasons underlying the occurrence of local criminal ...to user posts on public pages of firms/companies (like supermarket ... See full document
17
Exploiting Text and Network Context for Geolocation of Social Media Users
... been based on the text content of posts from a given user or the social network of the user, with very lit- tle crossover between the two, and no bench- marking of the two approaches over compara- ... See full document
6
Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features
... media user and where a message is posted from is important for location-based recommendation (Ye et ...the Twitter social networking site, which boosts more than 500 million tweets posted on a daily ... See full document
8
Activity-based Twitter sampling for content-based and user-centric prediction models
... the prediction models can be degraded from the missing data or the choice of the collected ...sampling Twitter users to retrieve their historical tweets for temporal prediction ... See full document
20
Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction
... Probability distributions of words over locations have been used to estimate the geolocations of users. Maximum likelihood estimation ap- proaches (Cheng et al., 2010, 2013) and language modeling approaches minimizing ... See full document
13
Geolocation Prediction in Social Media Data by Finding Location Indicative Words
... on geolocation prediction based on social network analysis (Backstrom et ...text-based geolocation prediction, Cheng et ...city-level user geolocation for the ... See full document
18
Twitter Based Election Prediction and Analysis
... the user who posted the ...a user regarding a political party to infer the political ...a Twitter user is following, then a political preference is assigned based on that ...between ... See full document
6
End to end Network for Twitter Geolocation Prediction and Hashing
... in geolocation prediction operated at the ...a user on Facebook by measuring the relation- ship between geography and friendship networks, and Cheng et ...content-based prediction ... See full document
10
A Simple Scalable Neural Networks based Model for Geolocation Prediction in Twitter
... Our model for message-level prediction is shown in Figure 1. We use the text field of tweet and three metadata fields of user: location, description, and time zone. In the text, the location, and the ... See full document
5
Twitter User Geolocation Using a Unified Text and Network Prediction Model
... Network-based geolocation models, on the other hand, utilise the fact that social media users interact more with people who live ...a Twitter reciprocal mention network, and geolo- cated users ... See full document
7
A Hierarchical Location Prediction Neural Network for Twitter User Geolocation
... network based prediction methods have shown great success on this Twit- ter user geolocation prediction task (Rahimi et ...network based methods largely ignore the hi- erarchical ... See full document
11
Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User generated Text
... In machine learning terms, the geotagging shared task can be expressed as two different problems. By assigning a latitude/longitude pair to a given input tweet and measuring the distance between the pre- dicted point and ... See full document
5
A User-Centered Approach for a Tabletop-Based Collaborative Design Environment
... framework based on a multidisciplinary model for design ...followed approach is based on the use of the tabletop technology combined with physical interface devices in order to allow designers to ... See full document
11
Building Dialectal Arabic Corpora
... Diab et al. (Diab et al., 2010) started the project COLABA, an effort to create resources and processing tools from dialectal Arabic blogs. COLABA employs human annotators to anno- tate dialectal words harvested from the ... See full document
6
Smart Development Process Enactment Based on Context Sensitive Sequence Prediction
... our approach with real project data from anindustrial ...rule based language which is flexibly executable for the en- ...our approach with these ...is based on real project data with ... See full document
8
A Review on Micro-blogging Content Propagation for Situational Tweet Analysis
... The difficulties originate from the vast and heterogeneous nature of the online networking application like twitter, face book, web-based social networking blogging, which makes it hard to produce and ... See full document
6
Evaluating hypotheses in geolocation on a very large sample of Twitter
... In this paper, we examined six hypotheses about location-specific language use. We confirmed that OOV words are more predictive of location than dictionary words. Moreover, we showed that spelling variants and hashtags ... See full document
6
A Survey of Recommender Systems Techniques, Challenges and Evaluation Metrics
... The user-item matrix used for CF will be extremely sparse and a recommender system based on nearest neighbour algorithms may be unable to make any item recommendations for a particular ...Content ... See full document
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