Bag-of-words model

Known as: Bow, Bag-of-words, Continuous bag-of-words 
The bag-of-words model is a simplifying representation used in natural language processing and information retrieval (IR). In this model, a text… (More)
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Papers overview

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2018
2018
As the number of documents on the web is growing exponentially, multi-document summarization is becoming more and more important… (More)
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2016
2016
The Neural Bag-of-Words (NBOW) model performs classification with an average of the input word vectors and achieves an impressive… (More)
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Review
2014
Review
2014
We propose a novel rule-based model to incorporate contextual information and effect of negation that enhances the performance of… (More)
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2014
2014
Sentiment analysis on social networks has attracted ever increasing attention in recent years. To this end, most existing methods… (More)
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2012
2012
In this paper, we present a novel approach for supervised codebook learning and optimization for bag-of-words models. This type… (More)
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Highly Cited
2012
Highly Cited
2012
This paper presents a 3D shape retrieval algorithm based on the Bag of Words (BoW) paradigm. For a given 3D shape, the proposed… (More)
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2011
2011
In this paper we present two novel multivariate time series representations to classify physiological data of different lengths… (More)
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Highly Cited
2010
Highly Cited
2010
The bag-of-words model is one of the most popular representation methods for object categorization. The key idea is to quantize… (More)
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Highly Cited
2009
Highly Cited
2009
We start from the state-of-the-art Bag of Words pipeline that in the 2008 benchmarks of TRECvid and PASCAL yielded the best… (More)
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Highly Cited
2007
Highly Cited
2007
Localization for low cost humanoid or animal-like personal robots has to rely on cheap sensors and has to be robust to user… (More)
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