using emoticons to reduce dependency in machine learning techniques for sentiment classification
Báo cáo khoa học: "Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment Classification" pot
... Computational Linguistics Using Emoticons to reduce Dependency in Machine Learning Techniques for Sentiment ClassificationJonathon ReadDepartment of InformaticsUniversity of SussexUnited Kingdomj.l.read@sussex.ac.ukAbstract Sentiment ... optimised for use as sentiment classificationtraining data. 2,000 articles containing smiles and2,000 articles containing frowns were held-out asoptimising test data. We took increasing amountsof ... the remaining dataset (from 2,000 to 22,000 in increments of 1,000, an equal numberbeing taken from the positive and negative sets) asoptimising training data. For each set of trainingdata...
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Báo cáo khoa học: "Using Machine Learning Techniques to Build a Comma Checker for Basque" pdf
... per-formances in this task (84.36% in test). There-fore, we decided to adopt this as a basis in order to get an automatic clause splitting tool for Basque. But as it is known, machine learning ... chunks to the beginning and to the end of the sentence number of nominal chunks to the begin-ning and to the end of the sentence number of subordinate-clause marks to the beginning and to ... Spain.{acpalloi,bertol,jipdisaa,jibizole,jipmaanm}@ehu.esAbstract In this paper, we describe the research using machine learning techniques to build a comma checker to be integrated in a...
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Báo cáo khoa học: "Using Machine Learning Techniques to Interpret WH-questions" potx
... Patrick. 1993. Coding decisiontrees. Machine Learning, 11:7–22. Using Machine Learning Techniques to Interpret WH-questionsIngrid ZukermanSchool of Computer Science and Software EngineeringMonash ... performance of our statistical models, includ-ing the in uence of various training and testingfactors on predictive performance, and examinethe relationships among the informational goals. In ... introduced a predictive model, builtby applying supervised machine- learning tech-niques, which can be used to infer a user’s key in- formational goals from free-text questions posed to an Internet...
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Tài liệu Using XPath to Query Data in a DataSet doc
... in Example 8-9. Example 8-9. File: XPathQueryForm.cs // Namespaces, variables, and constants using System; using System.Configuration; using System.Windows.Forms; using System.Text; using ... Books Online under the topics "Guidelines for Using XPath Queries" and " ;Using XPath Queries." In .NET, the DataSet is synchronized with the XmlDataDocument. As a result, in some ... System.Text; using System.Xml; using System.Data; using System.Data.SqlClient; // Table name constants xmlNodeList[i].ChildNodes[3].InnerText + Environment.NewLine + Environment.NewLine); ...
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Tài liệu Báo cáo khoa học: "Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques" doc
... candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved signifi-cant performance, an F1-score of 88.54%, in our ... AFNLPExtracting Comparative Sentences from Korean Text Documents Us-ing Comparative Lexical Patterns and Machine Learning Techniques Seon Yang Department of Computer Engineering, Dong-A ... is to find an effective method to extract S1 and S2, but single-keyword searching just outputs S1 and S3. In order to capture S2, we added long-distance-words sequences to the set of single-keywords....
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USE OF BIOMETRIC IDENTIFICATION TECHNOLOGY TO REDUCE FRAUD IN THE FOOD STAMP PROGRAM: FINAL REPORT docx
... temporary exemptions to individualswith injuries to the index fingers and permanent exemptions in cases where individuals are missingindex fingers. In Illinois, where retinal scanning was tested, ... errors in updating or deletingdemographic information, the general practice is to permit viewing of certain State information,but to allow fundamental case changes in the State's database to ... theIllinois Retinal Identification System (ISCAN).Biometric Technology Retinal scanning (recently discontinued) and fingerimagingContractor(s) Printrak International, Inc., for finger imaging, andEyeDentify,...
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kernel methods in machine learning
... domain X otherthan it being a set. In order to study the problem of learning, we needadditional structure. In learning, we want to be able to generalize to unseendata points. In the case of binary ... particu-larly in machine learning. Since these methods have a stronger mathematicalslant than earlier machine learning methods (e.g., neural networks), thereis also significant interest in the statistics ... studied in depth since they arise as covariance kernels of stochastic processes; see, for example, Lo`eve [93]. This connection is heavily being used in a subsetof the machine learning community interested...
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advances in machine learning applications in software engineering
... intention to capture, in this book, some of the latest advances in this emerging niche area. Machine Learning Methods Machine learning methods fall into the following broad categories: supervised learning, ... categories: supervised learning, unsupervised learning, semi-supervised learning, analytical learning, and reinforcement learning. Supervised learning deals with learning a target function from ... of developing and maintaining large and complex software systems in a dynamic and changing environment, machine learning methods have been playing an increasingly important role in many software...
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the mit press dataset shift in machine learning feb 2009
... from the training data. Then the prediction taking into account theI Introduction to Dataset ShiftDataset Shift in Machine Learning Joaquin Qui˜nonero-CandelaMasashi SugiyamaAnton SchwaighoferNeil ... made major contributions to dealing withdataset shift in machine learning. Thanks to all of you for making this book happen!Joaquin Qui˜nonero-CandelaMasashi SugiyamaAnton SchwaighoferNeil ... DATASET SHIFT IN MACHINE LEARNING EDITED BY JOAQUIN QUIÑONERO-CANDELA, MASASHI SUGIYAMA, ANTON SCHWAIGHOFER, AND NEIL D. LAWRENCEDATASET SHIFT IN MACHINE LEARNING QUIÑONERO-CANDELA,...
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Báo cáo khoa học: "A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation" ppt
... criteria. Machine learning af-fords a unified framework to compose these crite-ria into a single metric. In this paper, we havedemonstrated the viability of a regression approach to learning the ... Brockett.2001. A machine learning approach to the automatic eval-uation of machine translation. In Proceedings of the 39thAnnual Meeting of the Association for Computational Lin-guistics, July.Thorsten ... way to incorpo-rate some assessment information into classificationtraining, we modify the parameter tuning process sothat SVM parameters are chosen to optimize for as-sessment correlations in...
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Báo cáo khoa học: "A Seed-driven Bottom-up Machine Learning Framework for Extracting Relations of Various Complexity" pdf
... chance for reaching a large number of rare pat-terns. In future work we will try to exploit the web as training resource for acquiring patterns while using the parsed domain data as the source for ... Domain Knowledge for Information Extraction. In Proc. of COLING 2000, Saarbrücken, Germany. R. Yangarber. 2003. Counter-training in the Discovery of Semantic Patterns. In Proceedings of ACL-03, ... role infor-mation is missing. E.g., in the management succes-sion domain that concerns the identification of job changing events, a person can either move into a 584Step 1: (depicted in Figure...
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A novel supervised machine learning algorithm for intrusion detection k Prototype+ID3
... them being normal instances and remaining 20 percent being anomaly instances. For NAD 2000 data set, we considered less number of instances i.e., 420 training instances and testing instances ... detecting attacks against computer systems and networks, or against information systems in general, as it is difficult to provide provably secure information systems and maintain them in such ... methods applied into intrusion detection [6], such as methods based on statistics, methods based on data mining, methods based on machine learning and so on. In recent years, data mining technology...
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Tài liệu How to Sell Personal Training: Advanced Sales Techniques For Personal Trainers doc
... of the little things; look for the smileFinding Hot buttons• Direct vs indirect questions• Writing down key information• What has failed for them in the past? Deliver for them!Are buyers ... coaching clients who is absolutely killing it!• He left the Finance world to pursue his passion for fitness, became a Personal Trainer in 2005.• He went from being a BRAND new trainer to opening ... loves selling personal training, and loves showing other trainers how to get into sales too.Q & A Session What questions or concerns do you have?What is your biggest concern regarding sales?What...
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Báo cáo khoa học: "Employing Personal/Impersonal Views in Supervised and Semi-supervised Sentiment Classification" potx
... SoftwareAccuracyBaseline Transductive SVM Self-trainingCo-training with random views Co-training and single classifier Co-training and combined classifier Using 5% labeled data as training data0.690.7470.5840.5250.670.6530.6260.550.5640.6830.4950.6150.86750.78550.70.6010.450.550.650.750.85BookDVDElectronicKitchenHealthNetworkPetSoftwareAccuracy Using ... classification problem in which labeled data in a domain are used to train a domain-specific classifier. Pang et al. (2002) are the first to apply supervised machine learning methods to sentiment ... on Minimum Cuts. In Proceedings of ACL-04. Pang B., L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment Classification using Machine Learning Techniques. In Proceedings of EMNLP-02....
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