This dashboard provides the insights for the of the MRO Aviation Market (Maintenance Repair & Overhaul) by gathering, cleaning and classifying news data.
The news data is retrieved from the Aylien API. For more information consult the documentation and get a 14 days free trial.
The Aylien API has a Jupyter Notebook guide for Python users, you can dowload it here.
The news data feed is automated, categorized in hot topics, products, and services. There's a further classification in the financial moves from the MRO Providers to know when there is a Joint Venture or an Acquisition. The news text has been processed to get unique news and eliminate the repetition that is created by having several sources repeating the same content.
| File | Functionality | |
|---|---|---|
| 1.automated_search.ipynb | Gets the news for the MRO Market providers | |
| 2.categorizing.ipynb | Classifies the news into categories like financial, sustainability, maintenance, etc... | |
| 3.clean_unwanted_words.ipynb | Filters news from unrelated topics and mentions | |
| 4.check_text_match.ipynb | Algorithm with cosine similarity to filter repeated news |
To try the functionalities, click the image:
