MHassaanButt / trends-awarness-backend

I have built a backend API in Flask that scrapes data from Twitter based on hashtags and keywords and returns a JSON response. To do this, I installed the necessary Python packages, authenticated with Twitter API, created a Flask app, defined an endpoint for scraping data, parsed the data and returned a JSON response.

Trends Awarness

Installation Guidance

1. Install Miniconda
2. Create an conda environment i.e. conda create -n trends
3. Activate conda env i.e. conda activate trends

pip install -r requirements.txt

5. python -m spacy download en_core_web_sm

python
import nltk
nltk.download('stopwords')
nltk.download('vader_lexicon')
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')