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Convert text format to libsvm format
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""" project text to libsvm vector space | |
""" | |
from gensim import corpora, models, similarities | |
import sys | |
import os.path | |
def load_document(): | |
text_li = [] | |
for line in sys.stdin: | |
line = line.strip() | |
if not line: | |
continue | |
text_li.append(line) | |
#document_li = [text.split() for text in text_li] | |
# Binary features | |
document_li = [list(set(text.split())) for text in text_li] | |
return document_li | |
def main(): | |
usage = "Usage: %prog outfile vocabfile < infile" | |
if len(sys.argv) != 3: | |
print usage | |
sys.exit(-1) | |
outfile = sys.argv[1] | |
vocabfile = sys.argv[2] | |
document_li = load_document() | |
vocab_bin = vocabfile + '.bin' | |
if os.path.exists(vocab_bin): | |
vocab = corpora.Dictionary.load(vocab_bin) | |
else: | |
vocab = corpora.Dictionary(document_li) | |
vocab.filter_extremes(no_below=3, no_above=0.4) | |
vocab.save(vocab_bin) | |
vocab.save_as_text(vocabfile+'.txt') | |
corpus = [vocab.doc2bow(doc) for doc in document_li] | |
corpora.SvmLightCorpus.serialize(outfile, corpus) | |
if __name__ == "__main__": | |
main() |
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