https://github.com/saksham-joshi/sentiment_analyzer

Analyze the sentiment of a text stored in a string or file and understand the reason why your blogs and posts are not ranking up.
https://github.com/saksham-joshi/sentiment_analyzer

data-analysis data-analytics python sentiment-analyser sentiment-analysis sentiment-analysis-without-nltk

Last synced: about 1 month ago
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Analyze the sentiment of a text stored in a string or file and understand the reason why your blogs and posts are not ranking up.

• Host: GitHub
• URL: https://github.com/saksham-joshi/sentiment_analyzer
• Owner: saksham-joshi
• Created: 2023-12-03T06:14:45.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-07T10:57:16.000Z (about 1 year ago)
• Last Synced: 2023-12-07T17:57:28.242Z (about 1 year ago)
• Topics: data-analysis, data-analytics, python, sentiment-analyser, sentiment-analysis, sentiment-analysis-without-nltk
• Language: Python
• Homepage: https://sentimentanalyzer.vercel.app/
• Size: 159 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Sentiment Analyzer

Analyze the sentiment of a text stored in a string or text file and understand the reason why your blogs and posts are not ranking up.

This Model is developed using Python3 programming language without using nltk package.

## How to use it ?

 - If you want to use it from online api, then visit "https://sentimentanalyzer.vercel.app/analyze?text=your+text+here" and it will return you a json object which contains output.

 - or you can download the source code of this model on your system and use it as you want.

 - Install Python3 on your system from [here](https://www.python.org/downloads/).

 - Download this repository from [here](https://github.com/saksham-joshi/Sentiment_Analyzer/archive/refs/heads/main.zip).

 - After downloading, extract the zip file and open the extracted folder.

## Files & Folders:

1. "app.py": It is a python file which is used to handle request on backend.

2. "Model" : This folder contains the main API. It contains files like :

    - "support_files": this folder is used by "Corrector_generator.ipynb" to generate "Corrector.json". 

    - "Corrector.json": this file contains all the words required to clean your given text which eventually increases accuracy and quality of output.

    - "Corrector_generator.ipynb": this is a jupyter notebook file of a python script which helps you to generate and update "Corrector.json".

    - "AnalystUtility.py": this file contains the implementation of neccesary formula required to create outputs.

    -  "Analyzer.py": this is the main file which contains the implementation and logic of this Analyzer. It contains two functions :

      

         1. Analyze_String(val : str) : this function takes string as input as returns a dictionary as output.

            

         2. Analyze_File(file_name : str) : this function takes file address as a input and returns a dictionary as output.

## Developer Info:

- Developed by Saksham Joshi.

- [@Portfolio](https://sakshamjoshi.netlify.app/)

- [@Linkedin](https://www.linkedin.com/in/sakshamjoshi27)

- [@GitHub](https://github.com/saksham-joshi)

- [@X(Twitter)](https://twitter.com/sakshamjoshi27/)