multinomial naive bayes text classification

... the cross-language text classification problem reduces to a standard classification problem in the cross- lingual space. Note that the existing methods for cross-language text classification can ... ap- proach to cross-language text classification based on structural correspondence learning. Section 5 presents experimental results in the context of cross-language sentiment classification. 2 Related ... where little labeled data is given. 3 Cross-Language Text Classification This section introduces basic models and termi- nology. In standard text classification, a document d is represented under the

Ngày tải lên: 23/03/2014, 16:20

... rules from numerically-basednaive-Bayes classifiers from Gravano et al [2003] ker-nels [Joachims 1998] in conjunction with the same rule extraction nique used for FP-Bayes tech-The query probes ... Retrieval]: Library Automa-tion—Large text archives; H.3.7 [Information Storage and Retrieval]: Digital Libraries; H.2.4 [Database Management]: Systems—Textual databases, distributed databases; ... valuable data in text databases that is “hidden” behind search interfacesand whose contents are not directly available for crawling through hyperlinks which contains1the full text of all patents

Ngày tải lên: 30/03/2014, 22:20

... elements that appear in source and target domains based on the contexts in which the lexical elements appear (their distribu-tional context) A distinctive aspect of our approach is that, in addition ... characterizing a word’s dis-tributional context, we make use, where possible, of the sentiment label of a document: i.e sentiment la-bels form part of our context features This is what makes the distributional ... tasks such as opinion mining (Pang and Lee, 2008), opinion summariza-tion (Lu et al., 2009), contextual advertising (Fan and Chang, 2010), and market analysis (Hu and Liu, 2004) Supervised learning

Ngày tải lên: 20/02/2014, 04:20

... applied to many text classification problems (Joachims, 1998) Maximum Entropy classifiers have been applied to the similar tasks of paraphrase recognition (Malakasiotis, 2009) and textual entailment ... types based on manual examination of 50 fluency edit misclassifications and 50 factual edit misclassifications leads to a small decrease in classification accuracy, namely 86.68% instead of 87.14% ... (3) Revisions 61406809 & 61746002 pre post diff Features for Edits Classification We design a set of features for supervised classification of user edits The design is guided by two main considerations:

Ngày tải lên: 22/02/2014, 03:20

... that comes from the user and assume it is safe Later on, when that data is used in a dif-ferent context, or to build a difdif-ferent type of query, the previously sanitized input may result in an ... type conversion error that can reveal relevant data To do this, the attacker injects the following text into input field pin: “convert(int,(select top 1 name from sysobjects where xtype=’u’))” The ... injected second query Example: Referring to the running example, an attacker could in-ject the text “’ UNION SELECT cardNo from CreditCards where acctNo=10032 - -” into the login field, which

Ngày tải lên: 05/03/2014, 23:20

... sentiment) in such short texts; and secondly, to investigate the use of distant supervision to quickly bootstrap large datasets and classifiers without the need for manual annotation Text classification ... classification (distin-guishing objective from subjective texts – see e.g (Wiebe and Riloff, 2005)); and sentiment classifi-cation (classifying subjective texts into those that convey positive, negative ... expression in face-to-face communication However, the prevalence of online text-based communication has led to the emergence of textual conventions understood by the users to perform some of the same

Ngày tải lên: 08/03/2014, 21:20

... genre classification that is cross-lingual. Cross-lingual genre classification (CLGC) differs 11 from both poly-lingual and language-independent genre classification. CLGC entails training a genre classification ... Petrenz and Bonnie Webber 2011 Stable classification of text genres Comput Linguist., 37:385–393 Peter Prettenhofer and Benno Stein 2010 Crosslanguage text classification using structural correspondence ... CLGC, both poly-lingual and language-independent genre classification require labeled training data in the target language. Supervised text classification requires a large amount of labeled data.

Ngày tải lên: 17/03/2014, 22:20

... Introduction Supervised document classification is a well-studied task. Research has been performed across many document types with a variety of classification tasks. Examples are topic classification of newswire ... three collec- tive classification algorithms capable of performing overall classification based on these inputs: (1) the minimum-cut approach, which is the benchmark for collective classification with ... content Citation vectors Content-only vectors Content-only classifications Citation classifications Content-only and citation scores Overall classifications Extract features Extract features SVM SVM Normalise Normalise MF/LBP/Mincut Figure

Ngày tải lên: 23/03/2014, 16:20

... for every member in a family, thus support-ing the present classification We also find a good correlation between the present family classification and the function(s) among families for which a ... (HMMs) to obtain a sequence-based subdivision of the SDR superfamily that allows for automatic classification of novel sequence data and provides the basis for a nomenclature system Results and ... steroid metabolism in development as well as metabolic and homeostatic signaling [11] In this context, control of ligand access, by oxidoreductases such as the above-mentioned SDRs, to nuclear

Ngày tải lên: 29/03/2014, 09:20

... the 35 texts used for annota-tor training (9 texts) and testing (26 texts) were re-solved via discussion between the annotators An additional 15 texts were annotated by Annotator A Finally, Annotator ... bridging anaphora The scheme was developed on 9 texts, which were also used for training the annotators Inter-annotator agreement was measured on 26 new texts, which in-cluded 5905 pre-marked potential ... 50 texts from the WSJ portion of the OntoNotes corpus-The corpus will be made publically available as OntoNotes annotation layer via http://www h-its.org/nlp/download Disagreements in the 35 texts

Ngày tải lên: 30/03/2014, 17:20

... given a raw text corpus We start by parsing the corpus using the Seginer parser (Seginer, 2007) This parser is unique in its ability to induce a bracketing (unlabeled parsing) from raw text (without ... and Shaul Markovitch, 2005. Feature Generation for Text Categorization using World Knowledge IJCAI ’05. David Graff, 1995 North American News Text Cor-pus Linguistic Data Consortium LDC95T21. ... arguments are assumed to be correctly bracketed We are al-lowed to utilize a training corpus of raw text 3.1 Overview Our algorithm utilizes statistics based on the (predicate, slot, argument head)

Ngày tải lên: 30/03/2014, 21:20

... defining the language model suit-able for the genre of a given text For example, the accuracy of POS tagging reaching 96.9% on newspaper texts drops down to 85.7% on forums (Giesbrecht and Evert, ... (1998) Combin-ing local context and WordNet similarity for word sense identification, pages 305–332 In C Fellbaum (Ed.), MIT Press Lee, D (2001) Genres, registers, text types, do-mains, and styles: ... al., 2005) But many implementations are not publicly available, and their scalability to real-life text classification tasks is unknown Also they have not been applied to genre classification Our

Ngày tải lên: 30/03/2014, 21:20

... not indicate that p should be the contexts that include y, but it is clear from the surrounding text that our version is the intended meaning If all the NPI contexts were included in the sum-mation, ... (y) would reduce to inverse relative frequency. Y L DEO Context words X Figure 1: Na¨ıve Bayes formulation of DEO detection. NPI contexts which containy DLD09 find that distillation seems to ... re-estimation in a Na¨ıve Bayes model Given a lexicon L of L words, let each NPI context be one sample gen-erated by the model One sample consists of a latent categorical (i.e., a multinomial with one

Ngày tải lên: 31/03/2014, 20:20

... Muller automata, and then translating the Wadge classification theory from the automata-theoretic to the neural network context The obtained hierarchical classification of neural networks consists of ... automata, and then trans-lating the Wadge classification theory from the automata-theoretic to the neural network context [1,2,9,19] The obtained hierarchical classification of neural net-works consists ... from the automata to the neural networks context, in order to obtain a refined classification of first-order recurrent neural networks Notably, the obtained classification actually refers to the ability

Ngày tải lên: 28/04/2014, 09:49

... it directly contributes to a better global comprehension of biological intelligence In this context, an interesting comparative approach that has been pursued consists in trying to understand ... modelization of the nervous system as a finite interconnection of logical devices [2] In this context, neural networks are commonly considered as discrete abstract machines, and the issue of computational ... physical phenomena are essentially involved in the computational capabilities of the brain In this context, Siegelmann and Sontag introduced the concept of an analog recurrent neural network as a neural

Ngày tải lên: 28/04/2014, 09:49

... classes at once Typical examples of multilabel problems are text cat-egorization, functional genomics, and scene classification In text categorization, each document may belong to multiple topics, ... this paper, we describe an original method for multilabel classification problems derived from a Bayesian version of thek-nearest neighbor (k-NN) rule The method developed here is an improvement ... approach that has the advantage of having low computational complexity In [10], the authors present a Bayesian multilabel k-nearest neighbor (MLkNN) approach where, in order to assign a set of labels

Ngày tải lên: 21/06/2014, 05:20

... two-stage piecewise linear neural network for crack classification and proved that it outperforms the Bayes classifier and the k-nearest neighbor (k-NN) classifier In their study, five features were ... pavement distresses and gained an accuracy of 85% On the basis of extracting the geometric and textural features, Sinha and Karray [17] constructed a fuzzy neural classifier, and the declared

Ngày tải lên: 21/06/2014, 05:20

... for cognitive load classification [13, 14] Moreover, formants have also been investigated in two other fields, which we believe are related to cognitive load classification: stress classification [15] ... and syntactic complexity of a particular text It ranges from 200 L (Lexiles) for beginner readers to above 1700 L for advanced text Lexile ratings of the text selected for the low, medium, and ... vowel-based cognitive load classification 4.2 Utterance-Based Classification Using Frame-Based Formant Features In this section, the performance of a cognitive load classification system using frame-based

Ngày tải lên: 21/06/2014, 07:20

... objects appearance variation and are difficult to make groups But the direction of bodies and the texture roughly form groups 4.6 Comparison with Fergus’s Model Because Fergus’s model requires high ... Zhang, M Marszałek, S Lazebnik, and C Schmid, “Local features and kernels for classification of texture and object categories: a comprehensive study,” International Journal of Computer Vision, ... vol 3954 of Lecture Notes in Computer Science, pp 517–530, 2006. [7] L Fei-Fei and P Perona, “A Bayesian hierarchical model for learning natural scene categories,” in Proceedings of the IEEE Computer

Ngày tải lên: 21/06/2014, 16:20

... above gait classification problem is nonparametric in nature It is based upon a hierarchical image classification architecture, which has recently been developed for visual pattern classification ... of STFT on the classification performance With either good time resolution or good frequency resolution, the proposed method achieves moderate classification rates At 512 msec, the classification ... as a short-time window), the classification rate is 98.8%, and increasing the length of the segment to 5.54 sec, the classification rate increases to 99.37% Perfect classification is achieved when

Ngày tải lên: 21/06/2014, 16:20