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Title:

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

Abstract:

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 Neural Information Retrieval: At the End of the Early Years Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek K 713 resource 104.07
2 Codra: A Novel Discriminative Framework for Rhetorical Analysis Shafiq Joty, Giuseppe Carenini, Raymond T. Ng 999 paper 97.25
3 Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More! Sebastian Ruder 641 resource 96.70
4 Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience Ismael Rafols, Martin Meyer 999 paper 95.54
5 Introduction to Neural Machine Translation with GPUs (part 3) Kyunghyun Cho 753 tutorial 93.95
6 Do Altmetrics Work? Twitter and Ten Other Social Web Services Mike Thelwall, Stefanie Haustein, Vincent Larivière, Cassidy R. Sugimoto 999 paper 92.54
7 Similarity-driven Semantic Role Induction via Graph Partitioning Joel Lang, Mirella Lapata 999 paper 92.54
8 The h’-Index, Effectively Improving the h-Index Based on the Citation Distribution Chun-Ting Zhang 999 paper 88.73
9 Discriminative Syntax-based Word Ordering for Text Generation Yue Zhang, Stephen Clark 999 paper 88.65
10 Open Machine Learning Course. Topic 6. Feature Engineering and Feature Selection Arseny Kravchenko 711 resource 86.07
11 Recent Advances in Document Summarization Jin-ge Yao, Xiaojun Wan, Jianguo Xiao 421 survey 85.85
12 The data that transformed AI research—and possibly the world Dave Gershgorn 107 resource 84.80
13 A social network's changing statistical properties and the quality of human innovation Brian Uzzi 999 paper 84.51
14 Deep Learning for NLP, advancements and trends in 2017 Javier 711 resource 83.05
15 A large-scale community structure analysis in Facebook Emilio Ferrara 999 paper 82.17
16 Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM RNN with Python and Theano Denny Britz 742 tutorial 81.98
17 How to handle Imbalanced Classification Problems in machine learning? Guest Blog 234 resource 79.72
18 DEEP LEARNING FOR CHATBOTS, PART 1 - INTRODUCTION Denny Britz 445 tutorial 79.66
19 The 8 Neural Network Architectures Machine Learning Researchers Need to Learn Nand Kishor 711 resource 78.77
20 A survey of transfer learning Karl Weiss, Taghi M. Khoshgoftaar and DingDing Wang 978 resource 78.62
21 Recurrent Neural Networks Tutorial, Part 2 - Implementing a RNN with Python, Numpy, and Theano Denny Britz 741 tutorial 77.97
22 The 8 Neural Network Architectures Machine Learning Researchers Need to Learn James Le' 731 resource 77.66
23 A Beginner's guide to Recurrent Networks and LSTMs Skymind 742 tutorial 76.66
24 The 7 NLP Techniques That Will Change How You Communicate in the Future (Part I) James Le 112 resource 76.55
25 Sequence to sequence learning with Convolutional Neural networks Nuno Edgar Nunes Fernandes 744 tutorial 76.23
26 Neural Machine Translation (seq2seq) Tutorial Thang Luong, Eugene Brevdo, Rui Zhao 753 tutorial 75.45
27 An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder 829 tutorial 74.94
28 Deep Learning for NLP Best Practices Sebastian Ruder 713 tutorial 74.88
29 Introduction to Visual Question Answering: Datasets, Approaches and Evaluation Javier Couto 411 resource 74.31
30 Negated bio-events: analysis and identification Raheel Nawaz, Paul Thompson, Sophia Ananiadou 999 paper 73.70
31 Machine Learning for Humans Vishal Maini, Samer Sabri 134 tutorial 73.57
32 State-of-the-art neural coreference resolution for chatbots Thomas Wolf 756 tutorial 73.47
33 Rohan #2: Artificial intelligence, ?Progress/?Time Rohan Kapur 811 tutorial 73.26
34 Chatsbots with Machine Learning: Building Neural Conversational Agents Dmitry Persiyanov 999 resource 73.05
35 Lisbon Machine Learning Summer School Highlights Sebastian Ruder 107 resource 73.00
36 Clustering cliques for graph-based summarization of the biomedical research literature Han Zhang, Marcelo Fiszman, Dongwook Shin, Bartomiej Wilkowski, Thomas Rindflesch 999 paper 72.53
37 PyTorch-GAN Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman 731 library 72.47
38 Recurrent Neural Networks Tutorial, Part 3- Backpropagation Through Time and Vanishing Gradients Denny Britz 741 tutorial 72.35
39 Open Machine Learning Course. Topic 5. Bagging and Random Forest Yury Kashnitskiy 711 resource 70.71
40 Vector Representations of Words - TensorFlow Tutorials TensorFlow Team 721 tutorial 70.40
41 Comparison of Deepnet and Neuralnet Vincent Granville 711 resource 70.22
42 Gimli: open source and high-performance biomedical name recognition David Campos, Sergio Matos, Jose Oliveira 999 paper 70.17
43 Literature Mining for the Discovery of Hidden Connections between Drugs, Genes and Diseases Frijters, Raoul AND van Vugt, Marianne AND Smeets, Ruben AND van Schaik, René AND de Vlieg, Jacob AND Alkema, Wynand 999 paper 70.09
44 RNNs in Tensorflow, a Practical Guide and Undocumented Features Denny Britz 741 tutorial 69.90
45 Word embeddings in 2017: Trends and future directions Sebastian Ruder 721 resource 69.80
46 Four deep learning trends from ACL 2017: Part 2 Abigail See 713 resource 69.66
47 Relevance of Unsupervised Metrics in Task-Oriented Dialogue for Evaluating Natural Language Generation Author Unknown 952 resource 69.60
48 Deep Learning Achievements Over the Past Year Eduard Tyantov 711 resource 69.34
49 Lexicalization and Generative Power in Ccg Marco Kuhlmann, Alexander Koller, Giorgio Satta 999 paper 69.31
50 New approaches to Deep Networks:Capsules (Hinton), HTM (Numenta), Sparsey (Neurithmic Systems) and RCN (Vicarious) Gideon Kowadlo 731 resource 69.21
51 Tips on Building Neural Machine Translation Systems Graham Neubig 753 tutorial 69.00
52 Introduction to Neural Machine Translation with GPUs (part 1) Kyunghyun Cho 753 tutorial 68.86
53 A general framework for analysing diversity in science, technology and society Andy Stirling 999 paper 68.85
54 DEEP LEARNING FOR CHATBOTS, PART 2 - IMPLEMENTING A RETRIEVAL-BASED MODEL IN TENSORFLOW Denny Britz 445 tutorial 68.61
55 SippyCup Unit 2: Travel queries Bill MacCartney 365 tutorial 68.31
56 Natural Language Processing in Artificial Intelligence is almost human-level accurate. Worse yet, it gets smart! Rafal 133 tutorial 68.15
57 Recurrent Neural Networks Tutorial, Part 1 - Introduction to RNNs Denny Britz 741 tutorial 67.94
58 Recommendation in Industry Xavier Amatriain 999 tutorial 67.73
59 Recurrent Neural Networks Stephen Grossberg 741 paper 67.44
60 Bayesian Statistics explained to Beginners in Simple English NSS 102 tutorial 67.34
61 A survey of cross-lingual embedding models Sebastian Ruder 721 tutorial 67.26
62 Interpreting Machine Learning Models: An Overview Matthew Mayo, KDnuggets 711 resource 66.75
63 Transfer Learning - Machine Learnings Next Frontier Sebastian Ruder 978 tutorial 66.74
64 iPython Noetbook for Translation with a Sequence to Sequence Network and Attention Tutorial Sean Robertson 753 library 66.72
65 On word embeddings - Part 2: Approximating the Softmax Sebastian Ruder 721 tutorial 66.41
66 Must Know Tips/Tricks in Deep Neural Networks Xiu-Shen Wei 713 tutorial 66.03
67 Ideas on interpreting machine learning Patrick Hall, Wen Phan, SriSatish Ambati 134 tutorial 65.98
68 Vector Representation of Words TensorFlow 321 tutorial 65.93
69 Open Machine Learning Course. Topic 3. Classification, Decision Trees and k Nearest Neighbors Yury Kashnitskiy 711 resource 65.68
70 An Overview of Proxy-label Approaches for Semi-supervised Learning Sebastian Ruder 581 resource 65.44
71 Multi-Task Learning Objectives for Natural Language Processing Author Unknown 133 resource 65.27
72 Learning Reinforcement Learning (with Code, Exercises and Solutions) Denny Britz 713 tutorial 65.27
73 Text Summarization using Sequence-to-Sequence model in Tensorflow and GPU computing: Part I – How to get things running cyberyu 132 resource 65.17
74 Deep Learning 2: Part 1 Lesson 4 Hiromi Suenaga 711 resource 65.17
75 Machine Learning Glossary Author Unknown 107 resource 65.11
76 The e-Index, Complementing the h-Index for Excess Citations Chun-Ting Zhang 999 paper 64.99
77 Train Neural Machine Translation Models with Sockeye Felix Hieber, Tobias Domhan 753 tutorial 64.95
78 What is machine learning? Everything you need to know Nick Heath 711 resource 64.92
79 A miscellany of fun deep learning papers Adrian Colyer 711 resource 64.54
80 A Beginner’s Guide to Deep Reinforcement Learning Adam Gibson, Chris Nicholson, Josh Patterson 857 library 64.45
81 Recursive Neural Networks with PyTorch James Bradbury 743 tutorial 64.40
82 CNTK 204: Sequence to Sequence Networks with Text Data Microsoft 234 resource 64.19
83 Temporal-Difference Learning Richard Sutton 857 tutorial 64.04
84 Exploring LSTMs Edwin Chen 742 tutorial 63.97
85 K-Means & Other Clustering Algorithms: A Quick Intro with Python Nikos Koufos 571 tutorial 63.97
86 An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship J. E. Hirsch 999 paper 63.88
87 Neural Text Embeddings for IR Bhaskar Mitra, Nick Craswell 721 tutorial 63.87
88 TensorFlow Lattice: Lattice modeling in TensorFlow Authors Unknown 731 library 63.77
89 Embed, encode, attend, predict: The new deep learning formula for state-of-the-art NLP models Matthew Honnibal 713 tutorial 63.68
90 Fully-Parallel Text Generation for Neural Machine Translation Jiatao Gu, James Bradbury 711 resource 63.60
91 Introduction to Word2Vec Skymind 721 tutorial 63.46
92 Convolutional neural networks, Part 1 Adrian Colyer 744 resource 63.33