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This repository holds code for sentiment analysis system in python π§π½βπ».
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. π§π½βπ»
in short
A System which measures the attitude of the customer towards the aspects of a service or product which they describe in text. πΎ
- python3 π
- pandas πΌ
- numpy π©βπ»
- sklearn π§¬
you need a computer/laptop π
This is an example of how to list things you need to use the software and how to install them.
- python π - https://www.python.org/downloads/
- Machine Learning librariesπ pandas, numpy, nltk:
pip install pandas, numpy, nltk
- Clone the repo
git clone https://github.com/ankit5577/sentiment_analysis_system.git
- Go to Folder
cd code
- Run Python File
python main.py
clone the repo π cd code && python main.py π let it train & run π§π½βπ»
For AiBoost.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE
for more information.
Ankit Kaushal - @ankit55771 - [email protected]