• snscrape is a scraper for social networking services (SNS).
• tweepy is a library of Python to access Twitter API (If you use Python 3.9 or higher, please install the developer version).
• A twitter developer account alongwith the API credentials.
• Rename the config_example.py file to config.py. In this file, you need to modify the hashtags and time period to what you want. Also, add your Twitter API credentials in this file.

autocommand.py - This file is to get tweet URLs in a particular time period. It can generate the snscrape commands in seven-day period.

scrape_tweets.py - This file is to get the tweet data like media_url, text_data in the tweet, etc., from URLs we got from above and save them into a .csv file. This part needs Twitter API keys, so please put your own API keys in the config.py file.

image_extract.py - This file is to get the images from the media_url of each tweet.

Please execute these three scripts in order

preprocessing.ipynb - This jupyter file will generate a concatenated dataframe for all the tweets and images in the data folder. Please first rename the data folder in the form of data_{topic_name}, and you only need to modify the variables in the first cell. The concatenated dataframe has all the tweets information linked with image path for each image. It will be stored in the csv_data folder.

opencv_text_detector.py - Detector model to detect the presence of text in an image. Required by preprocessing.ipynb, and do not need to execute alone.