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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… 
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Related topics

Related topics

22 relations
Additive smoothingBag-of-words model in computer visionConstellation modelDocument classification

Broader (2)

Machine learningNatural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Improved bag-of-words model for person re-identification
Person re-identification (person re-id) aims to match observations on pedestrians from different cameras. It is a challenging… 
Review
2014
Review
2014
Enhanced bag-of-words model for phrase-level sentiment analysis
We propose a novel rule-based model to incorporate contextual information and effect of negation that enhances the performance of… 
2014
2014
A Sense-Based Translation Model for Statistical Machine Translation
The sense in which a word is used determines the translation of the word. In this paper, we propose a sense-based translation… 
2014
2014
Automatic Identification of Research Articles from Crawled Documents
Paper from the Web-Scale Classification: Classifying Big Data from the Web Workshop. This paper proposes novel features that… 
Highly Cited
2013
Highly Cited
2013
Relative Body Parts Movement for Automatic Depression Analysis
In this paper, a human body part motion analysis based approach is proposed for depression analysis. Depression is a serious… 
2012
2012
A Bag-of-Words Model for Cellular Image Segmentation
Cellular segmentation in microscopy images is an important step in modern biological research. Microscopy image segmentation is… 
2012
2012
Sports Video Classification Using Bag of Words Model
We propose a novel approach classify different sports videos given their groups. First, the SURF descriptors in each key frames… 
Highly Cited
2010
Highly Cited
2010
Sentiment Classification using Automatically Extracted Subgraph Features
In this work, we propose a novel representation of text based on patterns derived from linguistic annotation graphs. We use a… 
Highly Cited
2010
Highly Cited
2010
Resolving Surface Forms to Wikipedia Topics
Ambiguity of entity mentions and concept references is a challenge to mining text beyond surface-level keywords. We describe an… 
2009
2009
Bag-of-Words Modelling for Speech Recognition
A semantic language modelling method for speech recognition is presented. The method is somehow similar to latent semantic… 
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