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توضیحات

Computational Linguistic

ویژگی	مقدار
سیستم عامل	-
نام فایل	compling-0.0.9
نام	compling
نسخه کتابخانه	0.0.9
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Francesco Periti
ایمیل نویسنده	peritifrancesco@gmail.com
آدرس صفحه اصلی	https://github.com/FrancescoPeriti/compling
آدرس اینترنتی	https://pypi.org/project/compling/
مجوز	-

# compling #### Computational Linguistic with Python [![Build Status](https://travis-ci.org/joemccann/dillinger.svg?branch=master)](https://travis-ci.org/joemccann/dillinger) **compling** is a Python module that provides some **_Natural Language Processing_** and **_Computational Linguistics_** functionalities to work with human language data. It incorporates various _Data_ and _Text Mining_ features from other famous libraries (e.g. [spacy](https://pypi.org/project/spacy/), [nltk](https://pypi.org/project/nltk/), [sklearn](https://pypi.org/project/scikit-learn/), ...) in order to arrange a pipeline aimed at the analysis of corpora of _JSON_ documents. ### Documentation See documentation [here](http://pycompling.altervista.org/). ### Installation You can install **compling** with: ```sh $ pip install compling ``` **compling** requires: + _Python_ (>= 3.6) + _numpy_ + _spacy_ + _nltk_ + _gensim_ + _tqdm_ + _unicodedata2_ + _unidecode_ + configparser_ + _vaderSentiment_ + _wordcloud_ You also need to download: * a ++_spacy language model_++ <br/> See [here](https://spacy.io/models) the available models. You can choose based on the language of your corpus documents. By default, **complig** expects you to download _sm_ models. You can still choose to download larger models, but remember to edit the [_confg.ini_](#config.ini) file, so it can work properly. _Example_ <br/> Let's assume the language of your documents is _English_. You could download the _spacy small english model_: ```sh python -m spacy download en_core_web_sm ``` * some ++_nltk functionalities_++: <br/> * _stopwords_ ```sh $ python -m nltk.downloader stopwords ``` * _punkt_ ```sh $ python -m nltk.downloader punkt ``` ### config.ini The functionalities offered by **compling** may require a large variety of parameters. To facilitate their use, default values are provided for some parameters: - some can be changed in the function invocation. Many functions provide optional parameters; - others are stored in the ++_config.ini_++ file. This file configures the processing of your corpora. It contains the values of some special parameters. (e.g. _the language of documents in your corpus._) You can see a preview below: ```ini [Corpus] ;The language of documents in your corpus. language = english ;Documents in your corpus store their text in this key. text_key = text ;Documents in your corpus store their date values as string in this format. ;For a complete list of formatting directives, see: https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior. date_format = %d/%m/%Y ;The size of spacy model you want it to be used in the text processing spacy_model_size = md [Document_record] ;Document records metadata: ;If lower==1, A lowercase version will be stored for each document. lower = 0 ;If lemma==1, A version with tokens replace by their lemma will be stored for each document. lemma = 0 ;If stem==1, A version with tokens replace by their stem will be stored for each document. stem = 0 ;If negations==1, A version where negated token are preceded by 'NOT_' prefix will be stored for each document. negations = 1 ;If named_entities==1, the occurring named entities will be stored in a list for each document. named_entities = 1 ; ... ``` ##### ConfigManager **compling** provides the _ConfigManager_ class to make it easier for you to edit the _config.ini_ file and to help you handling the corpora processing . #### example of usage (compling) You can see a short example of usage at [https://github.com/FrancescoPeriti/compling](https://github.com/FrancescoPeriti/compling). See the [documentation](http://pycompling.altervista.org/) for more details.

نیازمندی

مقدار	نام
-	pandas
-	sklearn
-	matplotlib
-	numpy
-	spacy
-	nltk
-	tqdm
-	unicodedata2
-	gensim
-	configparser
-	vaderSentiment
-	unidecode
-	wordcloud

زبان مورد نیاز

مقدار	نام
>=3.6	Python

نحوه نصب

نصب پکیج whl compling-0.0.9:

pip install compling-0.0.9.whl

نصب پکیج tar.gz compling-0.0.9:

pip install compling-0.0.9.tar.gz