This project is solving the Data Treasure Hunting challenge. Description
Everyday data from space are generated by NASA; however, these data need to be analysed to allow people have a better understanding. For this challenge, the APOD catalog was chosen to be a study case. The goal of this project is to build a dynamic knowledge using auto generated keywords. The first step is to create a ranked list containing words related to the picture, and through our API consume the data and display the knowledge in a friendly way, such as charts, videos, images and links. At the moment, a webpage consuming the API and showing the knowledge via charts was built.
Firstly, using the picture title, a search on google is undertaken to obtain extra knowledge about the picture. Secondly, nouns, proper nouns and adjectives are extracted from the knowledge built and the picture description. Finally, a logarithmic term frequency technique is applied to rank the words.
License: MIT license (MIT)
Source Code/Project URL: https://github.com/wagnersouz4/miningDTH
APOD - https://data.nasa.gov/developer/external/planetary/#apod