Sentiment Analysis System 👨🏼‍💻

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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Contributing
5. License
6. Contact

About The Project

This repository holds code for sentiment analysis system in python 🧑🏽‍💻.

what is a sentiment analysis system? 🤔

Sentiment analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. 🧑🏽‍💻
in short
A System which measures the attitude of the customer towards the aspects of a service or product which they describe in text. 👾

Built With

• python3 🐍
• pandas 🐼
• numpy 👩‍💻
• sklearn 🧬

Getting Started

you need a computer/laptop 🐒

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

• python 🐍 - https://www.python.org/downloads/
• Machine Learning libraries📚 pandas, numpy, nltk:

  pip install pandas, numpy, nltk

Installation

1. Clone the repo

   git clone https://github.com/ankit5577/sentiment_analysis_system.git

2. Go to Folder

   cd code
   

3. Run Python File

   python main.py

Usage

clone the repo 👉 cd code && python main.py 👉 let it train & run 🧑🏽‍💻

Contributing

For AiBoost.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Ankit Kaushal - @ankit55771 - ankit@aiboost.in