Opinion Content Extraction from Web Pages Using Embedded Semantic Term Tree Kernels

2017 ◽  
pp. 345-358
Author(s):  
Veerappa B. Pagi ◽  
Ramesh S. Wadawadagi
Keyword(s):  
Web Pages ◽  
Content Extraction

Main Content Extraction from Web Pages

2020 ◽  
Author(s):  
Stanislas Morbieu ◽  
Guillaume Bruneval ◽  
Mohamed Lacarne ◽  
Mohamed Kone ◽  
Francois-Xavier Bois
Keyword(s):  
Web Pages ◽  
Content Extraction

scholarly journals Main Content Extraction from Web Pages Based on Node Characteristics

2017 ◽  
Vol 11 (2) ◽  
pp. 39-48 ◽  
Author(s):  
Qingtang Liu ◽  
Mingbo Shao ◽  
Linjing Wu ◽  
Gang Zhao ◽  
Guilin Fan ◽  
...  
Keyword(s):  
Web Pages ◽  
Content Extraction

Content extraction from news web pages using tag tree

2018 ◽  
Vol 3 (1) ◽  
pp. 34 ◽  
Author(s):  
Sanjay K. Dwivedi ◽  
Chandrakala Arya
Keyword(s):  
Web Pages ◽  
Content Extraction

scholarly journals An Incremental Acquisition Method for Web Forensics

2021 ◽  
Vol 13 (6) ◽  
pp. 1-13
Author(s):  
Guangxuan Chen ◽  
Guangxiao Chen ◽  
Lei Zhang ◽  
Qiang Liu
Keyword(s):  
Real Time ◽  
Digital Forensics ◽  
Recall Rate ◽  
Web Pages ◽  
Web Page ◽  
Content Extraction ◽  
Data Redundancy ◽  
Repeated Acquisition ◽  
Low Efficiency ◽  
Acquisition Method

In order to solve the problems of repeated acquisition, data redundancy and low efficiency in the process of website forensics, this paper proposes an incremental acquisition method orientecd to dynamic websites. This method realized the incremental collection on dynamically updated websites through acquiring and parsing web pages, URL deduplication, web page denoising, web page content extraction and hashing. Experiments show that the algorithm has relative high acquisition precision and recall rate, and can be combined with other data to perform effective digital forensics on dynamically updated real-time websites.

An Intellect and Clustering Technology Using Noiseless Content Extraction in Web Pages

2019 ◽  
Vol 11 (0009-SPECIAL ISSUE) ◽  
pp. 1024-1029
Author(s):  
Florence Dayana M ◽  
Chidambaram M.
Keyword(s):  
Web Pages ◽  
Content Extraction
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