Metadata-Version: 2.1
Name: insightsearch
Version: 1.5
Summary: Insightsearch will show sentiments, aspects and their opinions from your text/review data.
Home-page: https://github.com/vivekalex61/insightsearch
Author: Vivek alex
Author-email: vivekalexktr@gmail.com
License: MIT
Download-URL: https://github.com/vivekalex61/insightsearch/archive/refs/tags/v1.5.tar.gz
Project-URL: Source Code, https://github.com/vivekalex61/insightsearch
Description: # insightsearch
        
        [![GitHub issues](https://img.shields.io/github/issues/vivekalex61/insightsearch)](https://github.com/vivekalex61/insightsearch/issues) [![GitHub license](https://img.shields.io/github/license/vivekalex61/insightsearch?style=flat-square)](https://github.com/vivekalex61/insightsearch/blob/master/LICENCE.txt) [![GitHub forks](https://img.shields.io/github/forks/vivekalex61/insightsearch)](https://github.com/vivekalex61/insightsearch/network) [![GitHub stars](https://img.shields.io/github/stars/vivekalex61/insightsearch)](https://github.com/vivekalex61/insightsearch/stargazers)
        
        
        Insightsearch is built for Analyzing customer reviews and texts. It will convert the unorganized text data into useful insights and their opinions. Simply, insightsearch tell you what people are talking about your products and services. Insightsearch pipeline is built on top of popular NLP frameworks include Spacy,Textblob and NLTK. Any one can freely use it for finding sentiments, hidden insights and their opinions.
        
        ## Features
        - **Aspect and Opinion extraction**: Insight search is a aspect based opinion extraction method. It uses simple rule based algorithm to detect and extract aspects and their opinions
        
        - **Sentiment Analysis**: Insightsearch classifies review data into positive and negative sentiments. It also visualises consumers sentiments changes in both monthly and weekly time frame.
        
        
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install insightsearch.
        
        ```bash
        pip install insightsearch
        ```
        
        ## Usage
        
        ```python
        import insightsearch
        
        #create a insightsearch object
        ins = insightsearch.Analysis(
            df='PathtoCSV',
            column_name="Text",date_column='date_column_name',vader=False
            )
        
        # returns html file with insights visualisation
        ins.review_analyze()
        ```
        ## Output
        - **Overall sentiments** 
        ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/overall_sentiments.png)
        - **Sentiment score over the time period** 
        ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/overall_sentiments_weekly.png)
        ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/overall_sentiments_monthly.png)
        - **Aspects and opinions**
         
           ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/aspect_opinions_1.png)
        
           ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/aspect_opinions_2.png)
        
           ![alt text](https://github.com/vivekalex61/insightsearch/blob/master/test/aspect_opinions_3.png)
        
        
        
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
        
Keywords: NLP,INSIGHT,REVIEW ANALYZER,REVIEW
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
