Modified LexRank for Tweet Summarization

2016 ◽  
Vol 3 (4) ◽  
pp. 79-90 ◽  
Author(s):  
Avinash Samuel ◽  
Dilip Kumar Sharma
Keyword(s):  
User Needs ◽  
Important Process ◽  
Document Summarization ◽  
Temporal Features ◽  
Key Features ◽  
Multiple Document

Summary generation is an important process in those conditions where the user needs to obtain the key features of the document without having to go through the whole document itself. The summarization process is of basically two types: 1) Single document Summarization and, 2) Multiple Document Summarization. But here the microblogging environment is taken into account which have a restriction on the number of characters contained within a post. Therefore, single document summarizers are not applicable to this condition. There are many features along which the summarization of the microblog post can be done for example, post's topic, it's posting time, happening of the event, etc. This paper proposes a method that includes the temporal features of the microblog posts to develop an extractive summary of the event from each and every post, which will further increase the quality of the summary created as it includes all the key features in the summary.

scholarly journals Entailment and Spectral Clustering based Single and Multiple Document Summarization

2019 ◽  
Vol 11 (4) ◽  
pp. 39-51
Author(s):  
Anand Gupta ◽  
◽  
Manpreet Kaur ◽  
Ahsaas Bajaj ◽  
Ansh Khanna
Keyword(s):  
Spectral Clustering ◽  
Document Summarization ◽  
Multiple Document

scholarly journals Corpus and evaluation measures for multiple document summarization with multiple sources

2004 ◽  
Author(s):  
Tsutomu Hirao ◽  
Takahiro Fukusima ◽  
Manabu Okumura ◽  
Chikashi Nobata ◽  
Hidetsugu Nanba
Keyword(s):  
Multiple Sources ◽  
Document Summarization ◽  
Evaluation Measures ◽  
Multiple Document

scholarly journals Dependency-based sentence alignment for multiple document summarization

2004 ◽  
Author(s):  
Tsutomu Hirao ◽  
Jun Suzuki ◽  
Hideki Isozaki ◽  
Eisaku Maeda
Keyword(s):  
Document Summarization ◽  
Multiple Document

Multi-document summarization using distortion-rate ratio

2014 ◽  
Author(s):  
Ulukbek Attokurov ◽  
Ulug Bayazit
Keyword(s):  
Rate Ratio ◽  
Document Summarization ◽  
Distortion Rate
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