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Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction


We propose a novel geolocation prediction model using a complex neural network.Our model unifies text, metadata, and user network representations with an attention mechanism to overcome previous ensemble approaches. In an evaluation using two open datasets, the proposed model exhibited a maximum 3.8%increase in accuracy and a maximum of 6.6%increase in accuracy against previous models. We?further analyzed several intermediate layers of our model, which revealed that their states capture some statistical characteristics of the datasets


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# Title Author Topic Medium Score
1 Representation Learning with Networks Jure Leskovec 641 tutorial 105.72
2 Neural Information Retrieval: At the End of the Early Years Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizu... 713 resource 100.52
3 Scholarly Data Mining: Making Sense of Scientific Literature Horacio Saggion & Francesco Ronzano 974 tutorial 99.31
4 Scholarly Data Mining: Making Sense of Scientific Literature Horacio Saggion, Francesco Ronzano 974 tutorial 99.31
5 Natural Language Processing for Intelligent Access to Scientific Information Francesco Ronzano, Horacio Saggion 232 tutorial 98.61
6 Analysis of the AutoML Challenge series 2015-2018 Isabelle Guyon and Lisheng Sun-Hosoya and Marc Boull ?e and Hugo Ja... 711 survey 97.27
7 Unsupervised Morphology Induction Using Word Embeddings Radu Soricut, Franz Och 999 paper 97.11
8 Confounds and Consequences in Geotagged Twitter Data Umashanthi Pavalanathan, Jacob Eisenstein 999 paper 96.96
9 Data Mining Ian Witten, Eibe Frank 107 survey 96.82
10 Introduction to Neural Machine Translation with GPUs (part 3) Kyunghyun Cho 753 tutorial 96.07
11 Natural Language Processing Jacob Eisenstein 711 survey 94.69
12 Deep Reinforcement Learning: An Overview Yuxi Li 857 resource 94.17
13 Natural Language Processing Jacob Eisenstein 711 survey 93.76
14 Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig 999 paper 93.76
15 An Introduction to Neural Information Retrieval Bhaskar Mitra, Nick Craswell 232 survey 93.69
16 Applications of Social Media Text Analysis Atefeh Farzindar, Diana Inkpen 957 tutorial 93.28
17 Machine Learning for NLP Charu C. Aggarwal 711 survey 93.04
18 A Year In Computer Vision Benjamin F. Duffy, Daniel R. Flynn survey 92.64
19 An Introduction to Deep Learning for Natural Language Processing Jianfeng Gao 711 tutorial 92.02
20 Natural Language Processing Jacob Eisenstein 711 survey 91.43
21 Introduction to Machine Learning Ethem Alpaydin 711 survey 90.65
22 Artificial Intelligence and Games Georgios N. Yannakakis and Julian Togelius 825 survey 90.49
23 Generalizing from Few Examples using Meta-Learning Hugo Larochelle 711 tutorial 90.47
24 Spoken Content Retrieval: A Survey of Techniques and Technologies Martha Larson and Gareth J. F. Jones 962 survey 90.41
25 A Survey of Statistical Network Models Anna Goldenberg, Alice X. Zheng, Stephen E. Fienberg and Edoardo M.... 624 survey 90.29
26 Open Machine Learning Course. Topic 6. Feature Engineering and Feature Selection Arseny Kravchenko 711 resource 90.21
27 Authorship Attribution Patrick Juola 965 survey 89.56
28 Machine Learning, Neural and Statistical Classification D. Michie, D.J. Spiegelhalter, C.C. Taylor 54 survey 89.56
29 Neural Network Methods for Natural Language Processing Yoav Goldberg 713 survey 88.00
30 Hyperparameter Optimization Matthias Feurer, Frank Hutter 187 survey 87.90
31 Recurrent Memory Networks for Language Modeling Ke Tran, Arianna Bisazza, Christof Monz 999 paper 87.80
32 Reinforcement Learning: An Introduction (2nd ed) Richard S. Sutton and Andrew G. Barto 857 survey 87.21
33 Tackling the Limits of Deep Learning for NLP Richard Socher resource 87.17
34 Graph Representation Learning Jure Leskovec 967 tutorial 87.16
35 Semi-supervised Question Retrieval with Gated Convolutions Tao Lei, Hrishikesh Joshi, Regina Barzilay, Tommi Jaakkola, Kateryn... 999 paper 86.90
36 Topics, Trends, and Resources in NLP Mohit Bansal 133 tutorial 86.84
37 Incorporating Structural Alignment Biases into an Attentional Neural Translation Model Trevor Cohn, Cong Duy Vu Hoang, Ekaterina Vymolova, Kaisheng Yao, C... 753 paper 86.56
38 Morphological analysis Tom Kwiatkowski 711 lecture 86.33
39 Search Engines Information Retrieval in Practice W. Bruce Croft, Donald Metzler, Trevor Strohman 612 survey 86.31
40 Deep Fusion LSTMs for Text Semantic Matching Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang 999 paper 85.86
41 Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement Hua He, Jimmy Lin 999 paper 85.83
42 Using Neural Networks for Modelling and Representing Natural Languages Tomas Mikolov 711 tutorial 85.62
43 Word Sense Disambiguation: A Survey Roberto Navigli 391 survey 85.58
44 Language to Logical Form with Neural Attention Li Dong, Mirella Lapata 999 paper 85.49
45 A Beginner's guide to Recurrent Networks and LSTMs Skymind 742 tutorial 85.36
46 Natural Language Understanding with Distributed Representation Kyunghyun Cho 721 survey 85.33
47 Brief Introduction to Machine Learning without Deep Learning Kyunghyun Cho 22 survey 85.33
48 Neural Summarization by Extracting Sentences and Words Jianpeng Cheng, Mirella Lapata 421 paper 85.24
49 A tutorial survey of architectures, algorithms, and applications for deep learning Li Deng survey 85.02
50 Deep Learning for Speech/Language Processing Li Deng 863 tutorial 85.01