Metadata-Version: 2.1
Name: neticle-textanalysis-api-sdk
Version: 3.2.1
Summary: Python SDK for Neticle Text Analysis API
Home-page: https://neticle.com/textanalysisapi/en/
Author: Neticle
Author-email: dev@neticle.com
License: MIT
Description: # Who we are
        [Neticle](https://neticle.com/company/en/)'s proprietary sentiment and semantic analysis technology works with outstanding human-level precision. We know how to get insights automatically from texts and we build products and services applying this technology.
        
        # About this package 
        [Neticle Text Analysis](https://neticle.com/textanalysisapi/en/) provides market leading, humanly accurate sentiment and semantic analysis toolkits for in-house corporate use. Or are you looking for NLP (natural language processing)? Yes, that's what we do.
        
        # Getting Started
        This package was meant to use with Neticle's Text Analysis API. For further information please visit the project's [home page](https://neticle.com/textanalysisapi/en/).
        
        Start with importing the package into your project:
        ```python
        from textanalysis_python_sdk import NeticleException, TextAnalysis
        ```
         
        After this you can easily use the API with the following code snippet:
        
        ```python
        textAnalysisApi = TextAnalysis(token='REPLACE-WITH-YOUR-TOKEN')
        neticleTextAnalysisAnswer = None
        try:
            neticleTextAnalysisAnswer = textAnalysisApi.getTextAnalyzed(language='en',
                input='This is a very good example text.')
        except NeticleException as e:
            print('Something went wrong while getting the answer from Neticle Text Analysis API! The error message is: ' + str(e))
        
        # Few example methods:
        print('The provided text decorated with HTML spans around recognized entities, synonyms and phrases: ' + neticleTextAnalysisAnswer.getFullHTMLText())
        print('The overall sentiment score (opinion index) calculated from the provided text: ' + str(neticleTextAnalysisAnswer.getOpinionIndex()))
        # For a detailed description of provided methods please refer to the TextAnalysisAnswer class's documentation.
        ```
Keywords: nlp,natural language processing,text analysis,sentiment analysis,topic recognition
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >= 3.7
Description-Content-Type: text/markdown
