This repository contains code for projects during the Indonesia AI NLP Bootcamp
The goal of this task is to run sentiment analysis on a dataset containing tweets related to 2019 Indonesian Presidential Election collected from Twitter
This task runs a text summarization for News Articles from Liputan6.com.
The main models used are pre-train large language models (LLM) that have been trained to perform text summarization.
Parameter Efficient Fine Tuning method is also explored for the text summarization LLM.
This task uses LLMs, such as Whisper and Wav2Vec model, to run speech recognition. Based on audio data, the LLM is able to transcribe the text of the audio.