Used the custom-trained NER outputs to make GOV.UK's search engine more explainable, transparent and powerful through CBOW and BERT word embeddings to get content-specific synonyms which can enrich the existing entities we have on our content. Available here.
Utilised doc2vec, USE, ANNOY and SOMS to identify semantically-similar documents on GOV.UK. Available here.
Applied object-orientated programming principles to identify the language of content. It is available here.
Built a website/Shiny app that empowers users to learn more about their local district councillors in Hong Kong. Let me know if you're interested! Repo is here. ๐ญ
Modelled the causal drivers behind survey responses on longitudinal data conducted on pupils during COVID-19. It is available here.
Searching for:
Interesting, open-source projects to collaborate on - get in touch! ๐ฏ
As part of the handover for future GSS committee members, as well as other areas where this work is applicable, package this algorithm up into an accessible layer for others to use.
This is accounting for the fact that not everyone knows how to code, let alone code in R, hence putting an layer on top in the form of an app will make this algorithm more accessible and henceforth more likely for others to use it.
Hello, I have exactly zero experience with R, but I'd like to use this project. What is the easiest way I could run it? I found that I need to put my data into dummy_student_preferences.csv (or change the reference in scripts/main.R), but how do I run the project then? When I run R in the project directory, the dependencies are installed, but that's it...
Thanks a lot