Clustering is an extensively studied data mining problem in the text domains. The difficulty finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In text mining, clustering the sentence is one of the processes and used within general text mining tasks. Several clustering methods and algorithms are used...

For the task of conversation emotion recognition, recent works focus on speaker relationship modeling but ignore role utterance's emotional tendency.In this paper, we propose a new expression paradigm sentence-level orientation vector to model potential correlation emotions between sentence vectors. Based it, design an recognition model, which extracts vectors from language and jointly learns d...

Lipreading aims to recognize sentences being spoken by a talking face. In recent years, the lipreading method has achieved high level of accuracy on large datasets and made breakthrough progress. However, is still far from solved, existing methods tend have error rates wild data defects disappearing training gradient slow convergence. To overcome these problems, we proposed an efficient end-to-...

in the present paper, we are to put forth a paradigm for the systematic study of modality in persian.with this end in view, we consider modality as a linguistic phenomenon that can be expressed at the level of sentence, at the level of constituents smaller than sentence and/or at the level of discourse. in such a system where sentential modality, sub-sentential modality and discourse modality a...