Trendboard

Trendboard is a web-based dashboard that analyzes trends in data from social media APIs.

Table of contents

• General info
• Highlights
• Setup

General info

The current version of Trendboard can be viewed and tested here.

The webapp is split into two sections with different features:

Youtube Features:

• Analyze various data about currently trending Youtube videos using different plots.
• Display the most commonly tagged topics in Youtube trends.

Twitter Features:

• Search for a topic or hashtag and get the average sentiment of recent tweets with that label.
• Display the top trending twitter topics and hashtags by country.

Highlights

• ML Model
  • The sentiment classifier model training was done on 1.6 million tweets from kaggle and the process can be seen in the twitter_sentiment_analysis_model.ipynb file under the assets folder.
  • The final model and preprocessor is saved in the utilities folder

Setup

If you wish to run the project locally take the following steps:

1. Clone the repository.

2. Create the necessary API keys:

   1. Youtube Data API
   2. Twitter API v1.1

3. Under the main folder path create a file named .env and insert the API keys in the following format:

YOUTUBEAPIKEY = '<insert youtube api key here>'
TWITTERAPIKEY = '<insert twitter api key here'
TWITTERAPISECRETKEY = '<insert twitter secret key here>'

4. Download the necessary packages using pip install or conda install if using an Anaconda environment (recommended).
5. Run index.py!

Note: If getting errors related to the TextCleaner or finalTwitterModel, try deleting finalTwitterModel.pkl and rerunning model_save.py (this may take some time depending on hardware).