Category: Sentiment Analysis

There are several state-of-the-art models in sentiment analysis, some examples are:

1. BERT (Bidirectional Encoder Representations from Transformers) and its variants like RoBERTa, ALBERT, and DistilBERT, which have shown to achieve state-of-the-art performance on a variety of sentiment analysis benchmarks.
2. GPT-2

BERT can be used for both feature extraction and fine-tuning.

In feature extraction, BERT is used as a pre-trained model to extract meaningful features from text data. The pre-trained weights of BERT can be used to encode the input text …

Seri Sentimen Analisis Twitter adalah tutorial sentiment analsis tweets dari Twitter, mulai dari persiapan environment dengan virtualenv dan Jupyter Lab, crawling tweets dari Twitter menggunakan Twint (tanpa Twitter API), data cleansing dan terakhir adalah sentimen analisis (labeling sentimen) dalam 3 …