Metadata-Version: 2.1
Name: textslack
Version: 0.1.3
Summary: Play with text data
Home-page: https://github.com/AnkitRajSri/textslack.git
Author: Ankit Raj
Author-email: srivastavaankit667@gmail.com
License: MIT
Description: # textslack
        A text cleaning pipeline to perform text cleaning, along with additional functionalities for sentiment, pos extraction, and word count.
        
        After pip install, please follow the below step to access the functionalities:
        * from textslack.textslack import TextSlack
        * slack = TextSlack()
        
        Below are the key functionalities currently available in the all the versions:
        
        1. transform(text): normalises and cleans unstructured text
        2. extract_nouns(text): cleans text to keep only nouns
        3. extract_verbs(text): cleans text to keep only verbs
        4. extract_adjectives(text): cleans text to keep only adjectives
        5. extract_adverbs(text): cleans text to keep only adverbs
        6. sentiment(text): returns a string as sentiment
        7. word_occurances(word, text): returns frequency of a word mentioned in the text
        
        v.0.1.3 update: transform method can now be used on an entire pandas dataframe column.
        
        Please refer the below medium article for a detailed explanation of textslack functionalities.
        https://medium.com/analytics-vidhya/text-processing-made-easy-with-textslack-4214ae6bc67a
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
