JacobJ215/Sentiment-Analysis-with-DistilBERT
Here we leverage a subset of the amazon_polarity dataset to train two machine learning models: an LSTM model with GloVe embeddings and a fine-tuned DistilBERT model. The LSTM model achieved an accuracy of 80.40%, while the DistilBERT model outperformed with an impressive 90.75% accuracy. Predictions can made in real time via our streamlit app
No commits in the last 6 months.
Stars
2
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 27, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/JacobJ215/Sentiment-Analysis-with-DistilBERT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ScalaConsultants/Aspect-Based-Sentiment-Analysis
💠Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
cleopatra-itn/fair_multimodal_sentiment
Code and Splits for the paper "A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment...
LorenzoAgnolucci/BERT_for_ABSA
In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair...
mohd-faizy/06P_Sentiment-Analysis-With-Deep-Learning-Using-BERT
Finetuning BERT in PyTorch for sentiment analysis.