https://github.com/drleniaw/analysis_sentiment_twitter_free_sex_in_indonesian
Analysis Sentiment on Twitter Free Sex In Indonesia
https://github.com/drleniaw/analysis_sentiment_twitter_free_sex_in_indonesian
collaboration crawling jupyter-notebook lda naive-bayes-classifier preprocessing-data python sentiment-analysis support-vector-machines twitter twitter-sentiment-analysis vader-lexicon word2vec wordcloud
Last synced: 4 months ago
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Analysis Sentiment on Twitter Free Sex In Indonesia
- Host: GitHub
- URL: https://github.com/drleniaw/analysis_sentiment_twitter_free_sex_in_indonesian
- Owner: drleniaw
- Created: 2023-04-14T07:16:21.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-14T08:00:25.000Z (about 2 years ago)
- Last Synced: 2023-07-19T16:36:44.096Z (almost 2 years ago)
- Topics: collaboration, crawling, jupyter-notebook, lda, naive-bayes-classifier, preprocessing-data, python, sentiment-analysis, support-vector-machines, twitter, twitter-sentiment-analysis, vader-lexicon, word2vec, wordcloud
- Language: Jupyter Notebook
- Homepage:
- Size: 2.35 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Analysis_Sentiment_Twitter_Free_Sex_In_Indonesian
Penelitian Analisis Sentimen pada Twitter mengenai Seks Bebas di Indonesia.
Tahapan:
1. Crawling Data - dengan modul snscrape
2. Preprocessing Data - dengan tahapan Remove User, Cleaning, Case Folding, Tokenisasi, Stopword Removal, dan Stemming
3. Labeling Sentimen - dengan modul vader_lexicon (Lexicon Based)
4. Topic Modeling - dengan Latent Dirichlet Allocation (LDA) dan Word2Vec
5. Visualisasi - dengan WordCloud
6. Klasfikasi Algoritma - dengan Algoritma Naive Bayes, Support Vector Machine (SVM) menggunakan BOW
7. Confusion Matrix - dengan 3 kelas