PROJECT TITLE :

Extraction Algorithm of English Text Summarization for English Teaching - 2018

ABSTRACT:

In order to improve the power of sharing and scheduling capability of English teaching resources, an improved algorithm for English text summarization is proposed primarily based on Association semantic rules. The relative options are mined among English text phrases and sentences, the semantic relevance analysis and have extraction of keywords in English abstract are realized, the association rules differentiation for English text summarization is obtained based on information theory, connected semantic rules data in English Teaching Texts is mined. Text similarity feature is taken as the maximum difference component of two semantic association rule vectors, and combining semantic similarity info, the correct extraction of English text Abstract is realized. The simulation results show that the tactic can extract the text summarization accurately, it's better convergence and precision performance in the extraction process.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Theme-Related Keyword Extraction from Free Text Descriptions of Image Contents for Tagging - 2018ABSTRACT:This Project discusses a method for automatic theme-related keyword extraction from users' natural language
PROJECT TITLE :Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget - 2018ABSTRACT:Kernel-primarily based ways get pleasure from powerful generalization capabilities in learning a selection of
PROJECT TITLE :BULDP Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition - 2018ABSTRACT:This Project develops a brand new dimensionality reduction technique, named biomimetic uncorrelated
PROJECT TITLE :Automatic Depth Extraction from 2D Images Using a Cluster-Based Learning Framework - 2018ABSTRACT:There has been a important increase in the provision of 3D players and displays in the last years. Nonetheless,
PROJECT TITLE :Diagnosing and Minimizing Semantic Drift in Iterative Bootstrapping Extraction - 2018ABSTRACT:Semantic drift is a common problem in iterative information extraction. Previous approaches for minimizing semantic drift

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry