Git Product home page Git Product logo

natural-language-preprocessings's Introduction

Natural Language Pre-processing

This repository includes some recipes of natural language pre-processing.

The list of recipes are as follows:

  • Data cleaner
  • Word normalization
  • Stopwords remover
  • Tokenizer
  • Word Vector

Install

To install required modules, simply:

$ pip install -r requirements.txt

Setup

First, you should download livedoor news corpus and extract it. For downloading the corpus, please execute following command:

$ cd src/data
$ python make_dataset.py

Now, you can ready for classification!

Start jupyter notebook:

$ jupyter notebook

And you can execute notebooks/document_classification.ipynb.

Good NLP Life!

Licence

MIT

Author

Hironsan

natural-language-preprocessings's People

Contributors

2ur1 avatar dependabot[bot] avatar hironsan avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar

natural-language-preprocessings's Issues

PicklingError を回避する方法を教えてください

こんにちは。
私の環境ではPicklingErrorが出力されてしまいました。
どなたか、回避する方法を教えていただくことは可能でしょうか。

_RemoteTraceback Traceback (most recent call last)
_RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/loky/backend/queues.py", line 150, in feed
obj
= dumps(obj, reducers=reducers)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/loky/backend/reduction.py", line 243, in dumps
dump(obj, buf, reducers=reducers, protocol=protocol)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/loky/backend/reduction.py", line 236, in dump
_LokyPickler(file, reducers=reducers, protocol=protocol).dump(obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/cloudpickle/cloudpickle.py", line 267, in dump
return Pickler.dump(self, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 409, in dump
self.save(obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 634, in save_reduce
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 847, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 634, in save_reduce
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 852, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 634, in save_reduce
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 847, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 781, in save_list
self._batch_appends(obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 808, in _batch_appends
save(tmp[0])
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 736, in save_tuple
save(element)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/cloudpickle/cloudpickle.py", line 395, in save_function
self.save_function_tuple(obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/joblib/externals/cloudpickle/cloudpickle.py", line 594, in save_function_tuple
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 847, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 852, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 634, in save_reduce
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 852, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 634, in save_reduce
save(state)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/site-packages/dill/_dill.py", line 910, in save_module_dict
StockPickler.save_dict(pickler, obj)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 852, in _batch_setitems
save(v)
File "/usr/local/var/pyenv/versions/3.6.7/lib/python3.6/pickle.py", line 496, in save
rv = reduce(self.proto)
TypeError: can't pickle SwigPyObject objects
"""

The above exception was the direct cause of the following exception:

PicklingError Traceback (most recent call last)
in
8 start_time = time.time() # for measuring running time
9
---> 10 items['data'] = Parallel(n_jobs=-1, verbose=5)([delayed(no_preprocess)(text) for text in items['data']])
11 items['data'] = [' '.join(doc) for doc in items['data']]
12 X_train, X_test, y_train, y_test = train_test_split(items['data'], items['label'], test_size=0.4)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.