Metadata-Version: 1.1
Name: preprocessingtext
Version: 0.0.1
Summary: A series of methods to help you work pre processing of text in general, like stem, tokenizer and others.
Home-page: https://github.com/EvertonTomalok/preprocessingtext
Author: Everton Tomalok
Author-email: evertontomalok123@gmail.com
License: MIT
Download-URL: https://github.com/EvertonTomalok/preprocessingtext/archive/master.zip
Description: # preprocessingtext
         
        A tool short, but very usefull to help in pre-processing data from texts.
        
         
        
        ## How to Install
         
        
            >> pip install --user preprocessingtext
            
         
        
        ## Usage
        
            >> from preprocessingtext import CleanSentence
            
            >> cleaner =  CleanSentence(idiom='portuguese')
            
            >> cleaner.stem_sentence(sentence="String", remove_stop_words=True, remove_punctuation=True)
        
        To init a a class, you need to pass the idiom that you want to work. The custom value, is "portuguese".  
        
        Before, you can instance a new object from CleanSentence, and call the method stem_sentence. You can choose in use 
        "remove_stop_words" from string (pass True or False) and "remove_punctuation" from string (pass True or False).
        
        ## Example
        
            >> string = "Eu sou uma sentença comum. Serei pré-processada com este modulo, veremos a serguir usando os métodos disponiveis"
            
            >> cleaner.stem_sentence(sentence=string,
                                    remove_stop_words=True,
                                    remove_punctuation=True,
                                    normalize_text=True,
                                    replace_garbage=True
                                    )
               
            >> sentenc comum pre-process modul ver segu us metod disponi
            
            >> print(cleaner.stem_sentence(sentence=string,
                                    remove_stop_words=False,
                                    remove_punctuation=True,
                                    normalize_text=True,
                                    replace_garbage=True
                                    )
              )
              
            >> eu sou uma sentenc comum ser pre-process com est modul ver a segu us os metod disponi
        
           
        # Author
        {
         'name': Everton Tomalok, 
        'email': evertontomalok123@gmail.com 
        }
Keywords: pre-processing text
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
