alvarobartt/ea-associate-ds

Electronic Arts (EA) NLP Assignment for: Associate Data Scientist

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Experimental

This project helps data scientists, particularly those working with global content or research, automatically categorize and understand large volumes of text. You input a collection of documents in multiple languages and contexts (like Wikipedia articles, conference papers, or product reviews). The output is a classification of each document by its context and an analysis revealing the hidden topics discussed within the collection. It's designed for someone who needs to make sense of diverse, multilingual textual data.

No commits in the last 6 months.

Use this if you need to automatically sort and understand the main themes within a large, diverse dataset of documents written in different languages and from various sources.

Not ideal if your documents are all in a single language and context, or if you only need a simple keyword search instead of deep thematic analysis and categorization.

multilingual-content-analysis document-management market-research text-categorization information-retrieval
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

13

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Aug 20, 2024

Commits (30d)

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