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.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
0.dataset raw.rar
0.dataset raw.rar
 
 
1.clean.rar
1.clean.rar
 
 
1.cleaning.py
1.cleaning.py
 
 
2.feature.rar
2.feature.rar
 
 
2.feature_extraction.py
2.feature_extraction.py
 
 
3.fuzzy scoring.py
3.fuzzy scoring.py
 
 
3.scored.rar
3.scored.rar
 
 
4.rouge.py
4.rouge.py
 
 
4.summarized.rar
4.summarized.rar
 
 
LSA.py
LSA.py
 
 
Ns.txt
Ns.txt
 
 
README.md
README.md
 
 
RECALL.txt
RECALL.txt
 
 
dict_stem.txt
dict_stem.txt
 
 
frules.txt
frules.txt
 
 
propernoun_edit.txt
propernoun_edit.txt
 
 
stem_edit.txt
stem_edit.txt
 
 
summary.rar
summary.rar
 
 
vocabulary.txt
vocabulary.txt
 
 
word_edit.txt
word_edit.txt
 
 

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Summarization of News Articles Using Fuzzy Logic Scoring

Was a collaborative project with Mega Widya that has been used in her Study of Literature course: "Summarization Artikel Berita Menggunakan Fuzzy Logic Scoring", which summarize the news articles using fuzzy logic scoring.

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Text Summarization using Fuzzy Logic Scoring

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text-mining text-summarization news-articles fuzzy-logic

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