Indonesian Chatbot built by Multi Layer Perceptron(Neural Network)
Natural language toolkit for Indonesian Language (Bahasa)
Android Sastrawi is a Natural Language Processing Toolkit for Bahasa Indonesia
A machine learning project that analyzes Indonesian student survey comments to detect positive or negative sentiments using TF-IDF, Logistic Regression, and an interactive Streamlit web app.
Sentiment analysis to get people's sentiments about company services classified by date, service and place. For this case from people in DKI Jakarta for services from PT. PLN regarding electricity in DKI Jakarta in the scope of Twitter social media, especially those with opinions on PLN's official Twitter account.
Basic Practical Guide of Natural Language Processing (NLP)
Sentimen analisis pada aplikasi Tokopedia
A simple search engine that uses Cosine Similarity in the process of calculating similarity levels. Built using Python with Flask, Sastrawi library, and Bootstrap 4.
This repository contains a sentiment analysis of the 2024 Indonesian presidential debate (debat capres). The approach used includes several stages, ranging from data scraping, data processing, to machine learning modeling.
Industry 4.0 here I cum
Retrieval Information System
Classification of Covid-19 Tweets using Multinomial Naive Bayes and TF-IDF Vectorizer to categorize tweets about Covid-19 into three main classes
🏆 Top 10 @ TensorFlow Group ML Olympiad 2024 - Developing a model to classify each customer opinon into several Likert scale with data gathered directly from Google Reviews
Analisis Sentimen dari Data Review Produk di Shopee
Customer Service Chatbot Using Natural Language Processing
A tool to scrape Gojek app reviews from the Google Play Store. This project includes scripts for data collection, preprocessing (case folding, tokenization, stopword removal, stemming), and initial data analysis to gain insights from user feedback.
Proyek ini adalah Pengembangan Platform Digital dalam Peningkatan Reputasi Unila Menuju World Class University.
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