Twitter Sentiment Analysis
Using NLP

Indonesia's election sentiment analysis
using NLP and TensorFlow

In the fervent anticipation of the official announcement of the elected president by Indonesia’s General Elections Commission (KPU), social media, notably Twitter, has become a vital outlet for citizens to voice their opinions. This platform is a hub for critiques of the government and a diverse array of arguments from supporters of candidates 01, 02, and 03.

Amidst this diversity, there’s a risk of excessive expression impacting public perception. Hence, this project introduces an automated system for sentiment classification. The goal is to delve into the realm of Natural Language Processing (NLP) to conduct Twitter Sentiment Analysis using TensorFlow library.