Proposed IRL-based text classification framework
Unified Framework For Deep Learning Based Text Classification
... Unified Framework For Deep Learning Based Text Classification Dr Sheelesh Kumar Sharma, Navel Kishor Sharma, Dr Gajendra Singh Abstract: Deep learning has emerged as a very popular approach ...
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Arabic Text Classification Framework Based on Latent Dirichlet Allocation
... Recently, there has been a progress in the mod- els of document description; this progress is based on techniques which embed more and more semantics. These models are known for the generative aspect, they can ...
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A mixture of experts framework for text classification
... of text classification tasks is that they present large class ...experts framework. The proposed combination scheme is evalu- ated on a very imbalanced subset of the REUTERS-21578 text ...
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A text classification framework based on optimized error correcting output code
... multi-class classification. This paper explores the use of ECOC for learning text classifiers using two kinds of dichotomizers and compares them to each corresponding monolithic ...affect ...
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A Proposed Framework for Value-added Text Messaging (SMS) Services
... the proposed tariff structure for Premium Rate SMS services and the existing differentiated tariff bands used for Premium Rate voice services there is no attempt to mirror that pricing ...be based on a once ...
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Proposed Framework to Improving Performance of Familial Classification in Android Malware
... The research developed a Reverse Engineering framework (RevEng). Within RevEng, applications' permissions were selected and then fed into machine learning algorithms (MLA). Through our research, we created a ...
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A Text Classification Algorithm Based on PCA
... extraction, Text classification. Abstract. Study the related WEB text feature extraction algorithm, through the mutual information (MI), document frequency (DF), information gain (IG) andχ2 ...
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An EMM-based Approach for Text Classification
... was proposed by Baum and his group in the ...and text classification [9] [10], etc. In the field of text classification, [9] combines 2 and improved TFIDF method to construct the output ...
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A Robust Self Learning Framework for Cross Lingual Text Classification
... Abstract Based on massive amounts of data, recent pre- trained contextual representation models have made significant strides in advancing a num- ber of different English NLP ...self-learning framework to ...
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Towards Explainable NLP: A Generative Explanation Framework for Text Classification
... solve text classification problems, but just a few of them have explored the explainability of their systems (Camburu et ...given based on the fine-grained ...explainable text classifi- cation models ...
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Text Classification Based on LDA and Semantic Analysis
... SVM text classification algorithm is adopted to verify the validity and correctness of the text classification algorithm proposed in this ...Chinese text set compiled by Li ...
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Domain Based Classification of Punjabi Text Documents
... Most text classification techniques work on the principle of probabilities or matching terms with class name, in order to classify the documents into ...Ontology Based Classification and ...
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An Application on Text Classification Based on Granular Computing
... construction of a granule network With the extension of ID3 and PRISM, Y.Y. Yao proposed a method of construction of a granule network to practice machine learning problem. In a granule network, each node is ...
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Text Document Classification: An Approach Based on Indexing
... The proposed B-tree based system can be easily extended towards dynamic databases, as it is very easy to include new ...the proposed representation scheme, insertion of a document into the database ...
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Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework
... The sensor network design can also be seen from an eco- nomic perspective (Loucks et al., 2005). In most cases, the main limitation in the deployment of sensor networks is re- lated to costs, being sometimes the main ...
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Lexicon based feature extraction for emotion text classification.
... the proposed features also perform significantly better over n-gram features and their combination with features based on part-of-speech information and sentiment ...the proposed features extracted ...
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Chinese Short Text Classification Based on Domain Knowledge
... overall framework of our approach is shown in Figure ...short text instance and a domain is calculated by measuring the proportion of the overlapping part of this instance and the domain knowledge of this ...
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The Effect of Temporal based Term Selection for Text Classification
... for text classifi- cation concerned with the impact that the varia- tion of the strength of term-class relationship over ...We proposed a method of temporal-based term selection for timeline ...
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Text Classification into Abstract Classes Based on Discourse Structure
... classifying text with respect to belonging to a document or a meta-document is formulated and its application areas are pro- ...is proposed for document classification tasks where counts of words is ...
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Event based classification of Web 2.0 text streams
... continuous text streams - foremost twitter - , but all have in common that a several human estimators had to provide classes or rankings in order to train the ...the text stream ...2.0 text streams ...
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