Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM

Dark Web: E-Commerce Information Extraction Based on Name Entity Recognition Using Bidirectional-LSTM

Information extraction from e-commerce platform is a challenging task. Due to significant increase in number of ecommerce marketplaces, it is difficult to gain good accuracy by using existing data mining techniques to systematically extract key information. The first step toward recognizing e-commer...

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Bibliographic Details
Main Authors: Syed Afeef Ahmed Shah, Muhammad Ali Masood, Amanullah Yasin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Name Entity Recognition
natural language processing
bidirectional LSTM
convolutional neural network
word embedding
HTML
Online Access:https://ieeexplore.ieee.org/document/9889724/

Internet

https://ieeexplore.ieee.org/document/9889724/

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