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Performance Improvement of Web Page Genre Classification

K. PranithaKumari, A.Venugopal Reddy
2012 International Journal of Computer Applications  
Automatic genre identification of web pages has become an important area in web page classification, because it can be used to improve the quality of web search results and also to reduce the search time  ...  The solution to this problem is to classify the web pages according to their genre.  ...  Web page classification is one of the essential techniques for mining the web. Web page classification assigns a web page to one or more predefined class labels.  ... 
doi:10.5120/8457-2265 fatcat:25xrlp7e6zeppi46snenddqi2u

GermEval 2019 Task 1: Hierarchical Classification of Blurbs

Steffen Remus, Rami Aly, Chris Biemann
2019 Conference on Natural Language Processing  
The shared task consists of two subtasks: Task A) classification of blurbs exclusively into the most general categories, which can be considered to be a multi-label classification task, and Task B) hierarchical  ...  This paper presents the setup and outcome of the GermEval-2019 Task 1: Hierarchical Classification of Blurbs. A blurb is a short, occasionally advertorial, description of a book.  ...  multi-label classification task.  ... 
dblp:conf/konvens/RemusAB19 fatcat:pme23yvbczdtpnsgvd5ktzm2ra

A Study on Music Genre Recognition and Classification Techniques

Aziz Nasridinov, Young-Ho Park
2014 International Journal of Multimedia and Ubiquitous Engineering  
Finally, we briefly describe the proposed method for automatic classification of music genres, which consists of three steps: chord labeling, genre matching and classification.  ...  Finally, we briefly describe the proposed method for automatic classification of music genres, which consists of three steps: chord labeling, genre matching and classification. 32 Copyright ⓒ 2014 SERSC  ...  In [29] , the authors proposed a semi-supervised classification method for musical genres using multi-view features.  ... 
doi:10.14257/ijmue.2014.9.4.04 fatcat:jl6cuq5nqfd2pj524yfb6usgga

MULAN: A Java Library for Multi-Label Learning

Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Jozef Vilcek, Ioannis P. Vlahavas
2011 Journal of machine learning research  
MULAN is a Java library for learning from multi-label data.  ...  It offers a variety of classification, ranking, thresholding and dimensionality reduction algorithms, as well as algorithms for learning from hierarchically structured labels.  ...  multi-label classification, including an implemented algorithm.  ... 
dblp:journals/jmlr/TsoumakasXVV11 fatcat:myeenfxzyra77mutac22nt4as4

Review-Driven Multi-Label Music Style Classification by Exploiting Style Correlations [article]

Guangxiang Zhao, Jingjing Xu, Qi Zeng, Xuancheng Ren
2018 arXiv   pre-print
This paper explores a new natural language processing task, review-driven multi-label music style classification.  ...  It has brought failure to many multi-label classification methods. To tackle this problem, we propose a novel deep learning approach to automatically learn and exploit style correlations.  ...  For example, Wang et al. (2009) proposed to solve multi-label music genre classification with a hypergraph based SVM.  ... 
arXiv:1808.07604v1 fatcat:lphfu7ftivampoulaqv55oe5dq

Automatic Web Video Categorization Using Audio-Visual Information And Hierarchical Clustering Rf

Bogdan Ionescu, P. Lambert, Ionut Mironica, Klaus Seyerlehner, C. Vertan
2012 Zenodo  
Although some sources of information provide better results than others in the context of video genre categorization [1] , the most reliable approaches are however multi-modal.  ...  We performed the validation on a real-world categorization scenario and using a high diversity of genres, namely 26 video genres from blip.tv web media platform.  ... 
doi:10.5281/zenodo.52534 fatcat:r6djzbxt35huxoscqmr5qcjflu

Multi-label Music Genre Classification from Audio, Text, and Images Using Deep Features [article]

Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra
2017 arXiv   pre-print
Additionally, we propose an approach for multi-label genre classification based on the combination of feature embeddings learned with state-of-the-art deep learning methodologies.  ...  Experiments show major differences between modalities, which not only introduce new baselines for multi-label genre classification, but also suggest that combining them yields improved results.  ...  In this work we aim to advance the field of music classification by framing it as multi-label genre classification of fine-grained genres.  ... 
arXiv:1707.04916v1 fatcat:pfpjy6vdyvazndl2tvste5ms5i

Multi-Label Music Genre Classification From Audio, Text And Images Using Deep Features

Sergio Oramas, Oriol Nieto, Francesco Barbieri, Xavier Serra
2017 Zenodo  
In this work we aim to advance the field of music classification by framing it as multi-label genre classification of fine-grained genres.  ...  MULTI-LABEL CLASSIFICATION In multi-label classification, multiple target labels may be assigned to each classifiable instance.  ... 
doi:10.5281/zenodo.1417427 fatcat:2bd3ge36zncixdez4hgogwsfdy

An audio-visual approach to web video categorization

Bogdan Emanuel Ionescu, Klaus Seyerlehner, Ionuţ Mironică, Constantin Vertan, Patrick Lambert
2012 Multimedia tools and applications  
In this paper we address the issue of automatic video genre categorization of web media using an audio-visual approach.  ...  Abstract In this paper we address the issue of automatic video genre categorization of web media using an audio-visual approach.  ...  Acknowledgments Also, we would like to acknowledge the 2011 Genre Tagging Task of the Me-diaEval Multimedia Benchmark [2] for providing the test data set.  ... 
doi:10.1007/s11042-012-1097-x fatcat:rcph46fpn5apjocuszicyvd3ru

Inferring Missing Categorical Information in Noisy and Sparse Web Markup

Nicolas Tempelmeier, Elena Demidova, Stefan Dietze
2018 Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18  
While this constitutes an important information source for tasks such as Web search, Web page classification or knowledge graph augmentation, individual markup nodes are usually sparsely described and  ...  by 39% of all Web pages already in 2016.  ...  Since it is possible to assign multiple genres to a single movie by defining multiple s:genre properties, the classification of movie genres is a multi-label problem, i.e. a single movie entity can belong  ... 
doi:10.1145/3178876.3186028 dblp:conf/www/TempelmeierDD18 fatcat:xtawwkhokna5xb5swua63dztlu

Crowdsourcing for web genre annotation

Noushin Rezapour Asheghi, Serge Sharoff, Katja Markert
2016 Language Resources and Evaluation  
Recently, genre collection and automatic genre identification for the web has attracted much attention.  ...  In this paper, we tackle these problems by using crowd-sourcing for genre annotation, leading to the Leeds Web Genre Corpus-the first web corpus which is, demonstrably reliably annotated for genre and  ...  HGC, KRYS I and Egbert et al. (2013 Egbert et al. ( , 2015 use a hierarchical structure of genre labels so that also a more coarse-grained classification is available. 2 All of them use labels influenced  ... 
doi:10.1007/s10579-015-9331-6 fatcat:w3z6woisqvhi5f4wtjfpvvnm6i

Music Data Mining [chapter]

Tao Li, Lei Li
2011 Chapman & Hall/CRC Data Mining and Knowledge Discovery Series  
Multi-Label: In machine learning, multi-label classification is the special case within classification of assigning one of several class labels to an input object.  ...  Genre Classification: A particular aspect of music record classification is genre classification. The problem is to correctly label an unknown recording of a song with a music genre.  ... 
doi:10.1201/b11041-3 fatcat:y2etjljj6jdzrkq7dzikyk5kwq

Multi-modality web video categorization

Linjun Yang, Jiemin Liu, Xiaokang Yang, Xian-Sheng Hua
2007 Proceedings of the international workshop on Workshop on multimedia information retrieval - MIR '07  
Observing that web videos are characterized by a much higher diversity of quality, subject, style, and genres compared with traditional video programs, we focus on studying the effectiveness of different  ...  Our experiments on a large-scale dataset with 11k web videos (nearly 450 hours in total) demonstrate that (1) the proposed multimodal feature representation is effective for web video categorization, and  ...  A hierarchical video genre ontology is constructed and a hierarchical SVM classifier is designated to catego-rize the video genres.  ... 
doi:10.1145/1290082.1290119 dblp:conf/mir/YangLYH07 fatcat:lpiiw2e3kvbuleejndhhcns3zu

Multimodal Deep Learning for Music Genre Classification

Sergio Oramas, Francesco Barbieri, Oriol Nieto, Xavier Serra
2018 Transactions of the International Society for Music Information Retrieval  
Experiments on single and multi-label genre classification are then carried out, evaluating the effect of the different learned representations and their combinations.  ...  Moreover, a proposed approach for dimensionality reduction of target labels yields major improvements in multi-label classification not only in terms of accuracy, but also in terms of the diversity of  ...  Multi-label classification In multi-label classification, multiple target labels may be assigned to each classifiable instance.  ... 
doi:10.5334/tismir.10 fatcat:xfkr3e3atne3hbiwoyaxqv35za

Cost-Sensitive Feature Extraction and Selection in Genre Classification

Ryan Levering, Michal Cutler
2009 Journal for Language Technology and Computational Linguistics  
Automatic genre classification of Web pages is currently young compared to other Web classification tasks.  ...  This paper attempts to review and make progress in the area of feature extraction, an area that we believe can benefit all Web page classification, and genre classification in particular.  ...  The lack of a large negative class makes it a genre palette where a multi-class classification makes sense.  ... 
dblp:journals/ldvf/LeveringC09 fatcat:umba2miytzfrpbzw26olrokpcq
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