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twitter-analysis-app

★ 10 Open GitHub ↗

This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.

// repository documentation

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# Movie/Songs Recommendation based on Tweet Analysis

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## Problem Description 📋
⚡️ In recent times, everyone wants to stay updated regarding a variety of information in all sorts of domains. Nowadays, Twitter is being extensively used by users to explore what's happening around the world and share their thoughts on the same. Particularly, topics such as movies, songs trend on Twitter regularly.
⚡️ This Web application will provide the users the comfort of not scrolling the whole twitter feed page to find out the general perception of the other users and critics about the movies or songs that they would want to watch or listen to in the future. The application will provide real time analysis of tweets.

## Installation 📦

>Clone this repository

#### Install libraries
>pip install -r requirements.txt

#### Run server locally

```shell
$ cd TweetAnalysis
$ python manage.py runserver
```
> Go to localhost:8000

---
## Features 📋
⚡️ The latest songs and movies will be fetched from Spotify and TMDB.
⚡️ Sentiment analysis of the feed visually represented in data studio.
⚡️ Trending movies and songs will be emailed to the user specified email id for their record so that the user can play or watch the movies or songs in their free time.

## Contributing 💡

#### Step 1

- **Option 1**
    - 🍴 Fork this repo!

- **Option 2**
    - 👯 Clone this repo to your local machine.

#### Step 2

- **Build your code** 🔨🔨🔨

#### Step 3

- 🔃 Create a new pull request.

## License
- **[MIT license](http://opensource.org/licenses/mit-license.php)**

twitter-analysis-app

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