Pinned Repositories
instagram-scraper
Actor for scraping posts and comments from Instagram
Analisis-Sentimen-ID
Analisis Sentimen Twitter dengan TFIDF-ANN
SVM
Sentimen Analisis Bahasa Indonesia Using SVM
AppChats
Membuat aplikasi chat sederhana
Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.
belajargit
brandis
Brandis: End-to-end encryption for everyone
Crawling-Twitter
sourche code python untuk crawling twitter
Crawling_Twitter_Py
Source Code Python untuk Crawling Data Twitter
deep_learning
My FREE deep learning online course for everyone
rutlima-sinaga's Repositories
rutlima-sinaga/belajargit
rutlima-sinaga/Final-IFest-2021_Analisis-Sentimen-Kebijkakan-PPKM-Pemerintah
DAC Unpad 2021 Final
rutlima-sinaga/SVM
Sentimen Analisis Bahasa Indonesia Using SVM
rutlima-sinaga/sentimen-bahasa
Analisis Sentimen teks bahasa Indonesia dengan SVM
rutlima-sinaga/instagram-scraper
Actor for scraping posts and comments from Instagram
rutlima-sinaga/text-preprocesing
Text preprocessing dengan menggunakan bahasa indonesia
rutlima-sinaga/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
rutlima-sinaga/SentimentAnalysisWebsite
rutlima-sinaga/fastText
Library for fast text representation and classification.
rutlima-sinaga/Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.
rutlima-sinaga/TwitterScraper
Repository containing all files relevant to my basic and advanced tweet scraping articles.
rutlima-sinaga/instagram-python-scrapy-spider
Instagram web scraping spider built with Python Scrapy
rutlima-sinaga/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
rutlima-sinaga/sentiment-analysis-python-with-support-vector-machine
Sentiment analysis is the process of understanding, extracting and processing data textual automatically to get the sentiment information contained in a sentence of opinion expressed in the form and group them into two groups: positive opinions and negative opinions. The data is used from previous project with lexicon, based on positive and negative sentiments. Several processes in this project are divided data into training and test data with ratio 90:10, calculated the word weight with Term Frequency-Inverse Document Frequency (TF-IDF), use Support Vector Machine on training data to produce the classification model then tested on test data.
rutlima-sinaga/Natural-Language-Processing-With-Pythonn
rutlima-sinaga/ScrapingData
Code for getting data from social media for your data science projects!
rutlima-sinaga/Analisis-Sentimen-ID
Analisis Sentimen Twitter dengan TFIDF-ANN
rutlima-sinaga/SVM-1
This code reads a dataset i.e, "Heart.csv". Preprocessing of dataset is done and we divide the dataset into training and testing datasets. Linear, rbf and Polynomial kernel SVC are applied and accuracy scores are calculated on the test data. Also, a graph is plotted to show change of accuracy with change in "C" value.
rutlima-sinaga/Enkrip
membuat chat aplikasi sederhana
rutlima-sinaga/AppChats
Membuat aplikasi chat sederhana
rutlima-sinaga/simple_rsa_aes_apps
rutlima-sinaga/wpuresolusi
repositori untuk menyimpan rencana WPU kedepannya
rutlima-sinaga/Komparasi-Model-Resampling-Analisis-Sentimen-pada-Tweets-Berbahasa-Indonesia
Model Sentimen Analisis untuk Tesis
rutlima-sinaga/simple-landing-page
Simple Landing Page for Company
rutlima-sinaga/wpu-git-test-2
repository mencoba git lagi
rutlima-sinaga/wpu-git-test
rutlima-sinaga/wpu-resolusi
repository untuk menyimpan rencana WPU kedepannya
rutlima-sinaga/Crawling-Twitter
sourche code python untuk crawling twitter
rutlima-sinaga/EndToEndVintera
rutlima-sinaga/twitter_scraping
Grab all a user's tweets (and get past 3200 limit)