[PDF] Top 20 Multi Label Text Classification through Label Propagation

... We evaluated our approach under a WEKA-based [23] framework running under Java JDK 1.6 with the libraries of MEKA and Mulan [21][22]. Jblas library for performing matrix operations while computing weights on graph edges. ... See full document

... Text classification has been widely exploited to improve the performance in information retrieval, information organising, text categorisation, and knowl- edge ...Traditionally, text ... See full document

... of text classification system is to determine the correct class of a new text document based on some training ...building text classifier is an interesting area for ...of text ... See full document

... Component analysis based on the feature selection method was implemented in prior research to eliminate duplicate features and irrelevant ones [13]. The study selected a subset of feature using a Genetic algorithm, and ... See full document

... for multi-label text classification, which is based on sequence- to-sequence ...with multi-level dilated convolution as well as a corresponding hybrid attention mecha- nism that ... See full document

... from text that is known to produce noisy ...and classification has been made with crowdsourced corrections to distant-supervised labels, and there is evidence that indicates still more would be ...relation ... See full document

... BIGRU - LWAN outperform all other methods on zero-shot labels (Table 2), in line with the findings of Rios and Kavuluru (2018), because they exploit label descriptors, but more importantly because they have a ... See full document

... (KNN) classification is one of the most fundamental and simple classification methods and when there is little or no prior knowledge about the distribution of the data, the KNN method should be one of the ... See full document

... capture label dependen- cies and measure the holistic quality of label as- ...a label assignment policy to determine where to place the objects and when to stop the as- signment ...the label ... See full document

... classes. Classification is used to predict categorical class ...of classification is to accurately predict the target class for each case in the ...of classification methods: Single-label ... See full document

... of text classification [2], which refers to sorting a set of documents into a set of categories (topics, classes or ...as multi-labeling [2, 6, 9, 10, 18]. Text classification is based ... See full document

... sentiment classification especially when we only have a small number of labeled ...the label propagating steps when the available labeled data is quite ...2010) label propagation suffers a ... See full document

... In this paper, we analyze and evaluate word embeddings for representation of longer texts in the multi-label document classification scenario. The embeddings are used in three convolutional neural ... See full document

... large label set, typically containing thousands of labels ...legal text processing, an emerging NLP field with many ap- plications (Nallapati and Manning, 2008; Aletras et ... See full document

... single-label text classification, it aims at con- sidering the interrelationships among labels and classifying the text document into multiple labels, which are organized into a hierarchical ... See full document

... in text classification lever- ages implicit correlations among related tasks to extract common features and yield perfor- mance ...potential label informa- tion. In this paper, we propose ... See full document

... Within the context of neural networks, Kurata et al. (2016) propose a scheme for initializing neu- ral networks hidden output layers by taking into account multi-label co-occurrence. Their method treats ... See full document

... of multi- label, influence of classifier construct have not explored enough which have a high impacts in the prediction of class labels and even in literature this problem is weakly being studied until ... See full document

... the label-specific document representation, but it ig- nores the label ...of label text to explicitly determine the semantic re- lation between documents and labels, however, la- bel ... See full document

... Supervised classification problems in machine learning involve identifying the ‘class’ of a particular item (such as an image, a document, an audio or video clip, ...Extreme Multi-Label ... See full document