Awards & Nominations
IGI lab has received the following awards and nominations. Way to go!
Global Nominee
IGI lab AI application
High-Level Project Summary
NTRS includes hundreds of thousands of items containing STI. It is difficult to locate desired information in such a large repository. Our challenge is to develop an AI application to improve the accessibility and discoverability of records in the public NTRS using NLP techniques, specifically Topic Modeling. As we read the pdf file, we turned it into text files so we could work with it. The next step is to clean these text files of unnecessary data. Then we applied Exploratory Data Analysis (EDA) to get the Term Document matrix. After all of this, we can apply the (LDA) Topic Modeling Algorithm. The last step was to deploy our project onto a free hosting web server.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
NTRS includes hundreds of thousands of items containing STI. It is difficult to locate desired information in such a large repository. Our challenge is to develop an AI application to improve the accessibility and discoverability of records in the public NTRS using NLP techniques, specifically Topic Modeling. As we read the pdf file, we turned it into text files so we could work with it. The next step is to clean these text files of unnecessary data. Then we applied Exploratory Data Analysis (EDA) to get the Term Document matrix. After all of this, we can apply the (LDA) Topic Modeling Algorithm. The last step was to deploy our project onto a free hosting web server.
Space Agency Data
Definitely the NASA open source data helped us as we turn it from pdf files into text files in which format we can work with.
Hackathon Journey
Actually, it was really great. As we met like-minded people with similar interests, we also communicated with people who have top-notch technical skills.
References
Tags
#AI #Machine Learning #NLP #Topic Modeling