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Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words
Vivek Kumar Rangarajan Sridhar
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
LatentVar |
WS |
Citations
URL
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib Jameel
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Steven Schockaert
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Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention
Ruifang He
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Xuefei Zhang
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Di Jin
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Longbiao Wang
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Jianwu Dang
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Xiangang Li
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SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
Dheeraj Mekala
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Vivek Gupta
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Bhargavi Paranjape
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Harish Karnick
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Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten
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Magnus Sahlgren
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https://code.google.com/p/word2vec/
http://en.wiktionary.org/wiki/Wiktionary:Frequency
http://gibbslda.sourceforge.net
http://code.google.com/p/btm/
https://github.com/annontopicmodel/
Field Of Study
Linguistic Trends
Embeddings
Task
Chunking
Semantic Similarity
Approach
Topic Modeling
Deep Learning
Generative Model
Language
English
Dataset
News
Twitter
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