Research Report: Multi-document summarization (Bar Chart View)

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Multi-document summarization 74%
   
text summarization 32%
   
multi document summarization 19%
   
Google Scholar 13%
   
natural language processing 10%
   
document summarization 10%
   
news articles 10%
   
Article Metrics 10%
   
automatic text summarization 10%
   
Computer Science 10%
   
text mining 6%
   
Text Extraction 6%
   
multiple documents 6%
   
automatic summarization 6%
   
Recommended articles 6%
   
Citing articles 6%
   
registered trademark 6%
   
Extractive summarization 6%
   
sentence extraction 6%
   
Go back 6%
   
email address 6%
   
Video player 6%
   
Live streaming 6%
   
Vimeo Create 6%
   
International Journal 6%
   
Natural language 3%
   
Disambiguation page 3%
   
single document 3%
   
King Saud University 3%
   
Na´ve Bayesian Classifier 3%
   
input documents 3%
   
Na´ve Bayesian 3%
   
word frequency 3%
   
automatic text summarization approach 3%
   
timestamp concept 3%
   
document summary 3%
   
Input Document 3%
   
Sentiment Analysis 3%
   
Data set 3%
   
information retrieval 3%
   
Link Analysis Based 3%
   
Rhetorical Relations 3%
   
Computational Linguistics 3%
   
Intelligent Text Processing 3%
   
link analysis 3%
   
based Method 3%
   
Information Technology 3%
   
Content Selection 3%
   
Publicly Accessible Penn Dissertations 3%
   
AppendPDF Pro 3%
   
python train 3%
   
path DATA 3%
   
path VOCAB 3%
   
path MODEL 3%
   
file LOG 3%
   
PATH -inter 3%
   
Iterative Residual Rescaling 3%
   
statements redundant 3%
   
Wiley Online Library 3%
   
Orienteering Problem 3%
   
MMS task 3%
   
Proposed Textual Graph Based Model 3%
   
Arabic Multi-document Summarization 3%
   
Advanced Computer Science 3%
   
textual graph 3%
   
IGI Global 3%
   
Graph Text Representation 3%
   
Importance Refinement 3%
   
Knowledge Understanding 3%
   
document collection 3%
   
reference Ledeneva 3%
   
frequent sequences 3%
   
extractive text summarization 3%
   
?51 CrossRef 3%
   

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