https://github.com/ramyacp14/sentimentanalysis
Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.
https://github.com/ramyacp14/sentimentanalysis
machine-learning natural-language-processing nltk numpy pandas python scikit-learn
Last synced: 3 months ago
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Implements a sentiment analysis model to determine the emotional tone behind text, helping understand attitudes, opinions, and emotions in online mentions.
- Host: GitHub
- URL: https://github.com/ramyacp14/sentimentanalysis
- Owner: ramyacp14
- Created: 2022-12-18T05:08:40.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2024-09-06T20:01:26.000Z (over 1 year ago)
- Last Synced: 2025-03-02T21:43:02.052Z (11 months ago)
- Topics: machine-learning, natural-language-processing, nltk, numpy, pandas, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 3.49 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Sentiment Analysis Project
## Description
This project implements a sentiment analysis model using Python and Jupyter Notebook. Sentiment analysis is the process of determining the emotional tone behind a series of words, used to gain an understanding of the attitudes, opinions and emotions expressed within an online mention.
## Contents
- `Sentiment Analysis.ipynb`: Jupyter Notebook containing the main code for the sentiment analysis model.
## Requirements
(List the main libraries and dependencies here. For example:)
- Python 3.x
- Jupyter Notebook
- pandas
- numpy
- scikit-learn
- NLTK
## Installation
1. Clone this repository:
```
git clone https://github.com/ramyacp14/SentimentAnalysis.git
```
2. Install the required dependencies:
```
pip install -r requirements.txt
```
## Usage
1. Open the Jupyter Notebook:
```
jupyter notebook "Sentiment Analysis.ipynb"
```
2. Follow the instructions within the notebook to run the sentiment analysis.
## Contributing
Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.
## Contact
For any questions or feedback, please contact Ramya Chowdary Patchala at ramyacp14@gmail.com