Extraction Algorithm of English Text Summarization for English Teaching - 2018


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 : A Natural Language Process-Based Framework for Automatic Association Word Extraction ABSTRACT: In psychology, word association has been extensively explored for exposing mental representations and relationships
PROJECT TITLE : Automatic Keyword Extraction for Text Summarization A Survey ABSTRACT: Data has been quickly rising in recent years in every sphere, including journalism, social media, banking, education, and so on. Due to the
PROJECT TITLE : Financial Latent Dirichlet Allocation (FinLDA) Feature Extraction in Text and Data Mining for Financial Time Series Prediction ABSTRACT: Many financial time series predictions based on fundamental analysis have
PROJECT TITLE : Automatic Land Cover Reconstruction From Historical Aerial Images An Evaluation of Features Extraction and Classification Algorithms ABSTRACT: As large-scale epidemiological studies including retrospective study
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

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

Project Enquiry