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https://github.com/rakibhhridoy/sentimentanalysisindashboard-webapp

Sentiment analysis as dashboard in web server. Quick understandable and customized layout for any business application. This is based on positive, neutral and negative tweets in US location.
https://github.com/rakibhhridoy/sentimentanalysisindashboard-webapp

classification dashboard dashboard-application geovisualization machine-learning python sentiment-analysis streamlit-dashboard webapp

Last synced: about 1 month ago
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Sentiment analysis as dashboard in web server. Quick understandable and customized layout for any business application. This is based on positive, neutral and negative tweets in US location.

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README

        

# *Web Dashboard For Sentiment Analysis*
![WebDashboard0](images/i0.png)
![WebDashboard1](images/i1.png)
![WebDashboard2](images/i2.png)
![WebDashboard3](images/i3.png)

### Set up guide
> First Get the repository files Downloading or Clonning the repository
> Now open the folder using any ide or editor and select python. Now navigate to console and type
```bash
streamlit run app/app.py
```
> It will open in localhost server. Now you can use it easily.

### Customize Heading and Title of your Task
```python
t.title("Sentiment Analysis Tweets About US Airlines")
st.sidebar.title("Sentiment Analysis Tweets About US Airlines")
st.markdown(" This Application is a streamlit Dashboard to analyze Sentiment of Airlines Tweets in US 🐦")
st.sidebar.markdown(" This Application is a streamlit Dashboard to analyze Sentiment of Airlines Tweets in US 🐦")

```
Change the title,sidebar title,markdown and sidebar markdown according to your project.

### Environment
Make sure you have all necessery python library installed. For this projects you need
* Numpy
* Pandas
* Streamlit
* Plotly
* Matplotlib
* Scikit-learn

if you don't have these libraries go to python or anaconda prompt and paste these:
```bash
pip install numpy
pip install pandas
pip install streamlit
pip install plotly
pip install matplotlib
pip install sklearn
```

### Get touch with Me
Connect- [Linkedin](https://linkedin.com/in/rakibhhridoy)

Website- [RakibHHridoy](https://rakibhhridoy.github.io)