Text mining

[romainsacchi]

Estimated person-hours: unknown
Volunteer(s)/Candidate(s): unknown
Task Description: Text mining of specific data sources, corporate sustainability reports, academic journals in PDF format. Also, for understanding in a more structured way the raw text already contained in LCA data.

On another note, a game-based approach involving a broader community can be considered, involving the manual extraction and parsing of data.

Technical specifications:

Opportunities for machine learning & use of (semi-)automate procedures to replace activities currently requiring human intervention. A practical example could implementing text mining of specific data sources, e.g. corporate sustainability reports.

Data updates and adding new data points: Potential to assign tasks to Master students, group work, classroom projects. One of the flow-property layers has to be defined as the natural unit for each product. The natural unit is the one that the product cannot loose without loosing its meaning.

[romainsacchi]

Can we make that couple of sentences "One of the flow-property layers has to be defined as the natural unit for each product. The natural unit is the one that the product cannot loose without loosing its meaning." clearer?

[romainsacchi]

Python libraries like beautifulsoup4 could be considered, for example. You will find for example here a script I wrote that scraps data from globalenergyobservatory.org and maps all the coal power plants in the world, along with capacity, type of coal used, etc.