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A data-driven and automated approach to gaining insights into the Maintenance Repair & Overhaul Aviation Market by gathering, cleaning & classifying news.

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News Intelligence Dashboard

This dashboard provides the insights for the of the MRO Aviation Market (Maintenance Repair & Overhaul) by gathering, cleaning and classifying news data.

How does it work?

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.

Alt text

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

Dashboard

To try the functionalities, click the image:

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A data-driven and automated approach to gaining insights into the Maintenance Repair & Overhaul Aviation Market by gathering, cleaning & classifying news.

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