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: 9 months ago
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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 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-09T23:11:43.000Z (about 3 years ago)
• Last Synced: 2025-02-27T08:21:09.901Z (10 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

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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: