Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/starkblaze01/sentiment-analyzer

Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React
https://github.com/starkblaze01/sentiment-analyzer

flask-server keras-tensorflow python reactjs scikit-learn sentiment-analysis sklearn tweepy typescript

Last synced: 10 days ago
JSON representation

Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React

Host: GitHub
URL: https://github.com/starkblaze01/sentiment-analyzer
Owner: starkblaze01
License: mit
Created: 2019-04-29T16:55:39.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2022-12-09T23:11:43.000Z (almost 2 years ago)
Last Synced: 2024-05-01T15:39:29.169Z (6 months ago)
Topics: flask-server, keras-tensorflow, python, reactjs, scikit-learn, sentiment-analysis, sklearn, tweepy, typescript
Language: Jupyter Notebook
Homepage:
Size: 30.3 MB
Stars: 10
Watchers: 1
Forks: 0
Open Issues: 27
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Sentiment-Analyzer

## How to Run

### For Model Training

- [Install Jupyter Notebook](https://jupyter.readthedocs.io/en/latest/install.html)

- Run [GenericSentimentAnalyzer.ipynb](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/GenericSentimentAnalyzer.ipynb) for Model Training step by step on jupyter.

- Run [SentimentAnalyzer.py](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/SentimentAnalyzer.py) to collect tweets on Samsung.(Make sure you have Twitter Developers Account and twitter api credentials).

- Run [SamsungTweetsAnalysis.ipynb](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/SamsungTweetsAnalysis.ipynb) for using Trained model for Tweets on jupyter.

### For running Web Application

#### Steps:-

- Navigate to [Web Application](https://github.com/starkblaze01/Sentiment-Analyzer/tree/master/Web%20Application) folder.

- Run `yarn install`

- Open two terminals and run `npm start` in Web application folder and run `python server.py` in kanjo-server folder to start front-end and back-end.

### Web Application using Naive Bayes Model

#### Positive:

![alt text](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/Web%20Application/public/images/Sentiment_eg.png)

#### Negative:

![alt text](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/Web%20Application/public/images/Screenshot_eg1.png)

### Web Application using CNN Model

#### Positive:

![alt text](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/Web%20Application/public/images/Screenshot_3.png)

#### Negative:

![alt text](https://github.com/starkblaze01/Sentiment-Analyzer/blob/master/Web%20Application/public/images/Screenshot_2.png)

#### Alternate Repositories:

- [Model Training](https://github.com/VaaibhaviSingh/SentimentAnalyzer)

- [Web Application](https://github.com/anshumanv/kanjo)

# Team-Members

- [Mayank Pathela](https://github.com/starkblaze01)

- [Vaaibhavi Singh](https://github.com/VaaibhaviSingh)

- [Anshuman Verma](https://github.com/anshumanv)

- :smiley: