scripts.make_wiki_online_lemma – Convert articles from a Wikipedia dump¶
USAGE: %(program)s WIKI_XML_DUMP OUTPUT_PREFIX [VOCABULARY_SIZE]
Convert articles from a Wikipedia dump to (sparse) vectors. The input is a bz2-compressed dump of Wikipedia articles, in XML format.
This actually creates three files:
OUTPUT_PREFIX_wordids.txt: mapping between words and their integer ids
OUTPUT_PREFIX_bow.mm: bag-of-words (word counts) representation, in Matrix Matrix format
OUTPUT_PREFIX_tfidf.mm: TF-IDF representation
OUTPUT_PREFIX.tfidf_model: TF-IDF model dump
The output Matrix Market files can then be compressed (e.g., by bzip2) to save disk space; gensim’s corpus iterators can work with compressed input, too.
VOCABULARY_SIZE controls how many of the most frequent words to keep (after removing tokens that appear in more than 10%% of all documents). Defaults to 100,000.
If you have the pattern package installed, this script will use a fancy lemmatization to get a lemma of each token (instead of plain alphabetic tokenizer). The package is available at https://github.com/clips/pattern .
python -m gensim.scripts.make_wikicorpus ~/gensim/results/enwiki-latest-pages-articles.xml.bz2 ~/gensim/results/wiki