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Crash: LinAlgError: SVD did not converge

See original GitHub issue

I am getting a crash during the singlar value decomposition in lsa.py:

u, sigma, v = singular_value_decomposition(matrix, full_matrices=False)

The exception is LinAlgError: SVD did not converge

I saved the input file here: http://pastebin.com/s0RNZ2J2

To Reproduce:

# "text" is the input text saved at http://pastebin.com/s0RNZ2J2
parser = PlaintextParser.from_string(text, LawTokenizer("english"))
# I'm using the porter2 stemmer, but I don't think that matters
summarizer = sumy.summarizers.lsa.LsaSummarizer(stem_word)
# This is the standard stop words list
summarizer.stop_words = get_stop_words("english")   
# We get the crash here when it calls down to lsa.py
summaries = summarizer(parser.document, sentences)

Issue Analytics

State:
Created 10 years ago
Comments:12 (4 by maintainers)

Top GitHub Comments

1reaction

speedplanecommented, Jun 14, 2016

It’s been a while, but just wanted to leave a bit more info here in case this comes up with others. I was getting this error, but it seems to have disappeared after upgrading to the latest versions of numpy. That’s a bit disconcerting as it implies that there were bugs in numpy’s SVD calculation, but at least it seems to work now.

0reactions

miso-belicacommented, Oct 8, 2013

Currently I am studying other summarization methods. I implemented LexRank a few days ago if you are interested.