Metadata-Version: 2.1
Name: brwording
Version: 0.0.4
Summary: brwording - Processamento de Linguagem Natural em Português
Home-page: https://github.com/dbranquinho/brwording
Author: Delermando Branquinho Filho
Author-email: delermando@gmail.com
License: MIT
Description: ## `BRWording` - Text Analytics for Portuguese Wordings
        
        Create an easy Text Analytics in *`One-Line-Code`*
        
        <hr>
        
        ![](https://img.shields.io/badge/pypi-0.0.4-blue) ![](https://img.shields.io/badge/python-4.7|4.8|4.9-lightblue) ![](https://img.shields.io/badge/Licence-MIT-lightgray) ![](https://img.shields.io/badge/status-Beta-darkgreen) ![](https://img.shields.io/badge/pipeline-passed-green) ![](https://img.shields.io/badge/testing-passing-green) ![](https://img.shields.io/badge/TheScientist-APP-brown)
        
        
        **Main Features:**
        
        - Load `Excel`, `CSV` and `TXT` file types
        - Stemming
        - Lemmatization
        - Stopwords
        - TD-IDF
        - Sentimental Analysis
        - Graphical interpretation
        - Word Cloud
        
        The TF-IDF was calculated by:
        
        ![img](https://github.com/TheScientistBr/BRWording/blob/main/images/tf-idf.png?raw=true)
        
        <hr>
        
        ## How to Install
        
        ```shell
        pip install BRWording
        ```
        
        <BR>
        <hr>
        <BR>
        
        ## How to use
        
        `sintax`:
        ```python
        from brwording import brwording
        
        w = brwording.wording()
        
        w.load_file('data/example.txt',type='txt')
        w.build_tf_idf(lemmatizer=True,stopwords=True)
        
        w.tfidf
        
        ```
        
        **Output**
        
        ![img](https://github.com/TheScientistBr/BRWording/blob/main/images/tfidf.png?raw=true)
        
        If want to see the sentimental Graphical interpretation
        
        `sintax`:
        ```python
        
        w.sentimental_graf()
        
        ```
        **output**
        ![img](https://github.com/TheScientistBr/BRWording/blob/main/images/graf_sentimental.png?raw=true)
        
        if you want to create a wordcloud, just strike the folowing command, but if you want to create a cloud with your own mask, just pass you image address as `picture`
        
        `sintax`:
        ```python
        w.word_cloud(picture='none')
        
        ```
        
        **output**
        
        ![img](https://github.com/TheScientistBr/BRWording/blob/main/images/wc.png?raw=true)
        
        <hr>
        <BR>
        
        **Looking for a word into colection**
        
        if you want to see what files on your colection has a word, run `look2word` 
        
        `sintax`:
        ```python
        w.look2word('bonito')
        
        ```
        
        <BR>
        
        New features are incoming.
        
        <hr>
        <BR>
        
        `enjoi!`
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
