GitHub / MaggieUBC / Cancer-Sentiment-Analysis
This project was run in DataBricks using spark to analyze the recent news in 'cancer' for sentiment evaluation. The goal of this project is to practice traditional NLP like tokenization, stopwords, CV and TF-IDF, N-grams. Also, this project applied tools like AWS S3, athena, QuickSight etc. to address big data.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MaggieUBC%2FCancer-Sentiment-Analysis
Stars: 1
Forks: 0
Open issues: 0
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Size: 6.48 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: athena, bigdata, multiclass-classification, ngrams, quicksight, sentiment-analysis