python
pip install sumy
python
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lex_rank import LexRankSummarizer
parser = PlaintextParser.from_file("article.txt", Tokenizer("chinese"))
summarizer = LexRankSummarizer()
summary = summarizer(document, sentences_count=3)
for sentence in summary:
print(sentence)
python
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.parsers.plaintext import PlaintextParser
from sumy.nlp.tokenizers import Tokenizer
from sumy.summarizers.lex_rank import LexRankSummarizer
from sumy.nlp.stemmers import Stemmer
from sumy.utils import get_stop_words
parser = PlaintextParser.from_file("article.txt", Tokenizer("chinese"))
summarizer = LexRankSummarizer()
summarizer.stop_words = get_stop_words("chinese")
keywords = summarizer(parser.document, sentence_count=3)
for keyword in keywords:
print(keyword)
