GitHub / syenirasheila / Sentiment-Analysis-IKN-Using-SVM-QE
This project aims to analyze the sentiment about IKN (Ibu Kota Negara), the New National Capital in Indonesia. Data is obtained through crawling Twitter data related to IKN discussion topics. Furthermore, the data is analyzed using the SVM classification method by combining it with the Query Expansion technique to produce better model performance.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/syenirasheila%2FSentiment-Analysis-IKN-Using-SVM-QE
PURL: pkg:github/syenirasheila/Sentiment-Analysis-IKN-Using-SVM-QE
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 1.24 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: ikn, indonesia, python, query-expansion, sentiment, sentiment-analysis, support-vector-machines, svm, tweets