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LexRank summarization in python using sumy
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#Import library essentials | |
from sumy.parsers.plaintext import PlaintextParser #We're choosing a plaintext parser here, other parsers available for HTML etc. | |
from sumy.nlp.tokenizers import Tokenizer | |
from sumy.summarizers.lex_rank import LexRankSummarizer #We're choosing Lexrank, other algorithms are also built in | |
file = "plain_text.txt" #name of the plain-text file | |
parser = PlaintextParser.from_file(file, Tokenizer("english")) | |
summarizer = LexRankSummarizer() | |
summary = summarizer(parser.document, 5) #Summarize the document with 5 sentences | |
for sentence in summary: | |
print sentence |
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In order to get LSA use:
from sumy.summarizers.lsa import LsaSummarizer