Skip to content

A Document-Indexing tool base on bayesian network and word2vec

License

Notifications You must be signed in to change notification settings

yira97/text-tracer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

33 Commits
 
 
 
 
 
 
 
 

Repository files navigation

text-tracer

a text-searching script base on bayesian network and word2vec

dependencies

gensim,

install

1. get the latest version of wiki dumpfile

$ curl https://dumps.wikimedia.org/enwiki/latest/enwiki-latest-pages-articles.xml.bz2  
$ 7z e enwiki-latest-pages-articles.xml.bz2

2. parse the origin xml using wikiextractor

$ git clone https://github.com/attardi/wikiextractor && cd wikiextractor
$ python3 WikiExtractor.py --html -s  ../enwiki-latest-pages-articles.xml

3. build graph

$ cd .. && git clone https://github.com/ethanmiles/Bayesian-Network-for-NLP && cd Bayesian-Network-for-NLP/src/py/
$ python3 xmlParser.py --input /path/to/wikiextractor/text/   --work /path/to/workdir/ -p

4. start searching!

$ python3 xmlParser.py  --work /path/to/workdir/ -q feedback

dev schedule

1. corpus processing

xml_parser.hpp contains a series of xml processing tools which can basically cover various requirement of student or scholar.

Method Preview:

  • split tags

2. bayesian graph construction

  • edges
  • nodes
  • probabilistic table
  • tfidf
  • bayesian network inference

3. advance application

  • building graph from structured documents

4. test

  • graph_test
  • xml_parser_test

About

A Document-Indexing tool base on bayesian network and word2vec

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published