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A Concept Lattice-Based Kernel for SVM Text Classification [chapter]

Claudio Carpineto, Carla Michini, Raffaele Nicolussi
2009 Lecture Notes in Computer Science  
We describe a method to perform SVM text classification with concept lattice-based kernel, which consists of text pre-processing, feature selection, lattice construction, computation of pairwise term similarity  ...  Such a kernel is based on the notion of conceptual proximity between pairs of terms, as encoded in the document lattice.  ...  Following this idea, we have implemented a full SVM text classification system with concept lattice-based kernel.  ... 
doi:10.1007/978-3-642-01815-2_18 fatcat:yzuxbwtwwfezle7kbypelwgsmy

Enhanced concept-level sentiment analysis system with expanded ontological relations for efficient classification of user reviews

Asad Khattak, Muhammad Zubair Asghar, Zain Ishaq, Waqas Haider Bangyal, Ibrahim A Hameed
2021 Egyptian Informatics Journal  
, (v) Applying SVM classifier for sentiment classification of concept-based feature and (vi) Evaluating performance of the System, as shown in Fig. 1 .  ...  The result detailed in Table 15 To estimate the performance of the proposed SVM classifier for the concept-based feature sentiment classification, we performed a comparison with the similar studies  ...  Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi.org/10.1016/j.eij.2021.03.001.  ... 
doi:10.1016/j.eij.2021.03.001 fatcat:gre5adtlqjeqdo7w3rp722mghu

Three Non-Bayesian Methods of Spam Filtration: CRM114 at TREC 2007

Mamoru Kato, Joseph Langeway, Yimin Wu, William S. Yerazunis
2007 Text Retrieval Conference  
For the TREC 2007 conference, the CRM114 team considered three nonBayesian methods of spam filtration in the CRM114 framework -an SVM based on the "hyperspace" feature==document paradigm, a bitentropy  ...  The results show that the SVM has a spamfiltering accuracy of about a factor of two to three better accuracy than the OSB system, that substring compression is somewhat more accurate than OSB, and that  ...  This classifier is rather unique in that not only doesn't it have any concept of a text string; it doesn't even have any concept of a byte.  ... 
dblp:conf/trec/KatoLWY07 fatcat:r5o4beqgybgzvnpg23tmenyrmq

Semantic Annotation of Ontology by Using Rough Concept Lattice Isomorphic Model

Hongsheng Xu, Ruiling Zhang, Chunjie Lin, Wenli Gan
2015 International Journal of Hybrid Information Technology  
Semantic annotation is the process based on ontology annotation concept class, attribute and other metadata for cyber source and its various parts.  ...  This paper analyzes the methods of ontology mapping and merging based on rough concept lattice isomorphic model and presents semantic annotation of ontology by using rough concept lattice isomorphic model  ...  Semantic concept lattice model annotation will mark problems as classification problems based on the use of statistical learning methods, (such as: support vector machine Support Veetor Maehines (SVMs)  ... 
doi:10.14257/ijhit.2015.8.2.09 fatcat:vyoevxj5cnba7etewahbgvwecu

ISOMER

Chen Sun, Brian Burns, Ram Nevatia, Cees Snoek, Bob Bolles, Greg Myers, Wen Wang, Eric Yeh
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
For event recounting, we propose a novel approach to identify event oriented discriminative video segments and their descriptions with a linear SVM event classifier.  ...  This paper describes a system for multimedia event detection and recounting.  ...  The ASR MED system was based on a sparse linear kernel SVM model with an l-1 penalty. The features from the SVM model are log-mapped unigram lattice n-gram counts from ASR.  ... 
doi:10.1145/2578726.2578757 dblp:conf/mir/SunBNSBMWY14 fatcat:aizlfwpi6bdwtkv5pv54ycmwve

BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems

Pradeep Natarajan, Prem Natarajan, Shuang Wu, Xiaodan Zhuang, Amelio Vázquez Reina, Shiv Vitaladevuni, Kleovoulos Tsourides, Carl Andersen, Rohit Prasad, Guangnan Ye, Dong Liu, Shih-Fu Chang (+7 others)
2012 TREC Video Retrieval Evaluation  
For the low-level features we used multiple static, motion, color, and audio features previously considered in literature as well as a set of novel, fast kernel based feature descriptors developed recently  ...  Then, we trained detectors for these concepts using visual and audio features. The semantic concept based systems enable rich description of video content for event recounting (MER).  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright annotation thereon.  ... 
dblp:conf/trecvid/NatarajanNWZRVT12 fatcat:mdvwjmeps5d3bo2prhwbxkjhre

BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems

Florian Luisier, Manasvi Tickoo, Walter Andrews, Guangnan Ye, Dong Liu, Shih-Fu Chang, Ruslan Salakhutdinov, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler (+1 others)
2014 TREC Video Retrieval Evaluation  
After basic text processing, these words (ranked by TF-IDF measure) are then projected into our concept vocabulary using a text corpus knowledge source (e.g., Gigawords).  ...  For the semantic concepts, we have trained 1,800 weakly supervised concepts from the Research Set videos and a set of YouTube videos.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright annotation thereon.  ... 
dblp:conf/trecvid/LuisierTAYLCSM014 fatcat:jkhh2gyjsna4rktf4ba76v3fvu

Hardware Implementation of Web Based Arabic Optical Character Recognition Units

Abdelbadie Belmouhcine, Mohammed Benkhalifa
2014 Journal of Emerging Technologies in Web Intelligence  
We conduct our experiments using five classifiers: SVM (Support Vector Machine), NB (Naïve Bayes), KNN (K Nearest Neighbors), ICA (Iterative classification algorithm) based on SVM and ICA based on NB,  ...  Index Terms-formal concept analysis, centrality degree, semantic web, web page classification, query-log.  ...  In addition, we use a linear kernel that proves to be efficient for text classification, where we have high features vector dimension [23] .  ... 
doi:10.4304/jetwi.6.2.200-209 fatcat:frwl5rueongmvnthhul6ob3xsu

Performance Evaluation of SVM-Based Information Extraction using τ Margin Values

Kuspriyanto Kuspriyanto, Oerip S Santoso, Dwi H Widyantoro, Husni S Sastramihardja, Kurnia Muludi, Siti Maimunah
2010 International Journal on Electrical Engineering and Informatics  
It is necessary to have smart tools and methods than can access text content as needed. One of the success methods is Support Vector Machine (SVM).  ...  Experimental results show that there is optimumτ margin for both Indonesian corpus of Vegetable Market and Seminar Announcement Corpus.  ...  [7] , applied SVM with lattice-based approach to the cubic kernel for calculating the lattice transition probabilities.  ... 
doi:10.15676/ijeei.2010.2.4.1 fatcat:qfwtjvsq3nfl5cozlszx5fqvne

Moment Kernels for Regular Distributions

Corinna Cortes, Mehryar Mohri
2005 Machine Learning  
Kernel methods introduced for fixed-size vectors have proven very successful in a variety of machine learning tasks.  ...  These kernels are distribution kernels based on moments of counts of strings.  ...  Rational kernels provide a general solution for the definition of kernels between (weighted) automata and a general algorithm for their computation. 2.  ... 
doi:10.1007/s10994-005-0919-8 fatcat:utyzlfhtjncnzon4epc6ctfyay

BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems

Pradeep Natarajan, Shuang Wu, Florian Luisier, Xiaodan Zhuang, Manasvi Tickoo, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Vlad I. Morariu, Larry Davis (+4 others)
2013 TREC Video Retrieval Evaluation  
We present a thorough study of different semantic feature based systems compared to low-level feature based systems.  ...  For the semantic concepts, we developed various visual concept sets in addition to multiple existing visual concept banks.  ...  Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright annotation thereon.  ... 
dblp:conf/trecvid/NatarajanWLZTY013 fatcat:5if7w37ibbcydiwctmmckm7c5a

Discriminative Reranking for Spoken Language Understanding

Marco Dinarelli, Alessandro Moschitti, Giuseppe Riccardi
2012 IEEE Transactions on Audio, Speech, and Language Processing  
The latter encodes a very large number of dependencies (in the form of trees or sequences) by applying kernel methods to the space of all meaning (sub) structures.  ...  The results show that our DRMs consistently outperform the state-of-the-art models based on CRF.  ...  On the dialog perspective, our improved SLU system could be combined with [62] for the design of an effective dialog manager.  ... 
doi:10.1109/tasl.2011.2162322 fatcat:od3uqabaorgtpkit6ak25spfim

The 2014 SESAME Multimedia Event Detection and Recounting System

Robert C. Bolles, J. Brian Burns, James A. Herson, Gregory K. Myers, Julien van Hout, Wen Wang, Julie Wong, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Thomas Mensink, Arnold W. M. Smeulders (+7 others)
2014 TREC Video Retrieval Evaluation  
The SESAME system generated event recountings based on visual and action concepts, and on concepts recognized by ASR and OCR.  ...  The SESAME system uses a total of over 18,000 concepts.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.  ... 
dblp:conf/trecvid/BollesBHMHWWYHK14 fatcat:6kxybp25sfc7ncg5ryn2d2h5au

The 2013 SESAME Multimedia Event Detection and Recounting System

Robert C. Bolles, J. Brian Burns, James A. Herson, Gregory K. Myers, Stephanie Pancoast, Julien van Hout, Wen Wang, Julie Wong, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Zhenyang Li (+9 others)
2013 TREC Video Retrieval Evaluation  
The SESAME system generated event recountings by selecting intervals based on the semantic concepts, and on concepts recognized by ASR and OCR.  ...  The individual types of features and concepts produced a total of eight event classifiers.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon.  ... 
dblp:conf/trecvid/BollesBHMPHWWYH13 fatcat:a75734gfbvddlgwijke7qt62nm

Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts

Shuang Wu, Sravanthi Bondugula, Florian Luisier, Xiaodan Zhuang, Pradeep Natarajan
2014 2014 IEEE Conference on Computer Vision and Pattern Recognition  
We leverage video and image collections with free-form text descriptions from widely available web sources to learn a large bank of concepts, in addition to using several off-the-shelf concept detectors  ...  , speech, and video text for representing videos.  ...  Similar to our ASR system, word lattices are used to encode alternative hypotheses. We leverage a statistically trained video text detector based on SVM to estimate video text bounding boxes.  ... 
doi:10.1109/cvpr.2014.341 dblp:conf/cvpr/WuBLZN14 fatcat:ep7juxwv2jgubhlx3ezgyjomrq
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