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Topic model

Known as: Topic modeling 
In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in… 
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Related topics

Related topics

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BioinformaticsComputational journalismDeeplearning4jDiffusion wavelets

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing
Collaborative sensing has emerged as a new sensing paradigm where sensors collaboratively report measurements about the phenomena… 
2017
2017
An Improved ML-kNN Multi-label Classification Model Based on Feature Dimensionality Reduction
ML-kNN cannot be used in real-time classification because of the huge computational cost, time and space resources. Therefore… 
2016
2016
Community Detection Algorithm Evaluation using Size and Hashtags
Understanding community structure in social media is critical due to its broad applications such as friend recommendations, link… 
Review
2016
Review
2016
ECNU at SemEval-2016 Task 5: Extracting Effective Features from Relevant Fragments in Sentence for Aspect-Based Sentiment Analysis in Reviews
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2014
2014
ASAP: Automatic Semantic Alignment for Phrases
In this paper we describe the ASAP system (Automatic Semantic Alignment for Phrases)1 which participated on the Task 1 at the… 
2014
2014
Using Opinion Mining Techniques for Early Crisis Detection
The goal of our research is to investigate the use of internet monitoring in crisis management using linguistic processing and… 
2012
2012
Genre Independent Subgroup Detection in Online Discussion Threads: A Study of Implicit Attitude using Textual Latent Semantics
We describe an unsupervised approach to the problem of automatically detecting subgroups of people holding similar opinions in a… 
2012
2012
LDA based PSEUDO relevance feedback for cross language information retrieval
This paper introduced a LDA-based pseudo relevance feedback (PRF) model for cross language information retrieval. To validate the… 
2012
2012
ONEMercury: Towards Automatic Annotation of Environmental Science Metadata
The rapid growth of diverse data types and greater volumes available to environmental sciences prompts the scientists to seek… 
Highly Cited
2011
Highly Cited
2011
Simple Unsupervised Grammar Induction from Raw Text with Cascaded Finite State Models
We consider a new subproblem of unsupervised parsing from raw text, unsupervised partial parsing---the unsupervised version of…