A general 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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A General Evaluation Framework for Text Based Conversational Agent
... The subjective approach usually utilises a user questionnaire to evaluate the CA. This questionnaire might be used to ask the user (after using the CA) about several aspects of the CA such as the CA usability, ...
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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
... In general, letting a single, rather than sev- eral classifiers decide on a data point is based on the assumption that the instance space may be di- vided into non-overlapping areas, each best clas- sified ...
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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 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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Hierarchical Discriminative Classification for Text Based Geolocation
... Compared with vanilla NB, our implementa- tion of NB using IGR feature selection obtains large gains for T W US and moderate gains for T W W ORLD , showing that IGR can be an effec- tive geolocation method for Twitter. ...
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Function Based Question Classification for General QA
... more general QA system for its capability to answer questions of various sources, inte- grated from existed specialized sub-QA en- ...this framework, question classifica- tion is the primary ...
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Lexicon based feature extraction for emotion text classification.
... lexicon based 9 features to observe for performance improve- ...Emotion classification results using the hybrid features are summarized in tables 6, 7, 8 and ...lexicon based features deteriorates ...
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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
... These terms appearing in the training documents are equally weighted, which affect classification accuracy. The remainder of the paper is organized as fol- lows: Section 2 describes related work. Section 3 briefly ...
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CiteSeerX — Concept-based short text classification and ranking
... for text classification represent texts as vectors of words, namely ...This text representa- tion results in a very high dimensionality of feature space and fre- quently suffers from surface ...short ...
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KNN with TF-IDF based Framework for Text Categorization
... testing text classification quality are shown in ...the framework whose quality of classification slightly decreases with the increasing number of ...of classification depending on the ...
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A General Framework for the Annotation of Causality Based on FrameNet
... a text-driven methodology, where a corpus is se- lected, and every causal expression or relation correspond- ing to the scope of the given project is annotated (Bethard and Martin, 2008; Do et ...
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Text classification based on conditional reflection
... In addition, we compare the baseline methods CNN and RNN. The baseline methods of RNN are almost higher than CNN on the four datasets. Especially on MR dataset, VDCNN is in random initialization word vectors and the ...
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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
... a classification method named explicit Markov model is applied for text ...is based on HMM for text ...Chinese text classification ...
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A Knowledge based Approach to Text Classification
... The paper presents a simple and effective knowledge-based approach for the task of text classification. The approach uses topic identification algorithm named FIFA to text ...
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A text-based approach to industry classification
... applies text mining methodology in company grouping comes from Bernstein, Clearwater & Provost, whose paper aims to develop a model that classifies companies by taking knowledge from existing industry ...
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