- Added the initial project configuration
- Introduced the scraping, processing and training pipelines
- Added scripts:
scrape_google_reviewsprocess_datasetperform_edatrain_modelsummarize_experiment
- Added v1.0 version of the paper
- Reworked the data scraping pipeline
- modified the input configuration format
- scraped a large raw dataset
- Introduced DVC
- Updated and enhanced EDA
- Reworked the data processing pipeline
- introduced the train/test data processing separation
- refactored modules responsible for fitting/processing the data
- similified the extracted linguistic and numerical features
- Redesigned the model's architecture and training process
- introduced the embedding sequence processing block
- added only a single main training objective (regression or classification)
- introduced the secondary translation prediction task
- Introduced more advanced evaluation utilities
- enhanced experiments summary
- added slice-based offline testing