metadata

title: sentiment-analysis-committee
emoji: 👥
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.12.0
app_file: app.py
pinned: false

Sentiment Analysis Committee

A comprehensive sentiment analysis tool using multiple methods, including BERT (Base and Large), DistilBERT, SiEBERT, TextBlob, VADER, and AFINN.

How to Use

Enter text into the interface to receive sentiment analyses from various methods. The committee's decision is based on the majority of votes among the methods.

Technical Details

This project leverages various natural language processing models to evaluate the sentiment of entered text:

BERT Base and BERT Large: Transformer-based models providing sentiment scores and labels. BERT Large is a larger variant of BERT with more layers, potentially offering more nuanced sentiment analysis.
DistilBERT: A distilled version of BERT, optimized for speed and efficiency.
SiEBERT: A RoBERTa-based model fine-tuned for sentiment analysis.
TextBlob: Utilizes Naive Bayes classifiers, offering straightforward sentiment evaluations.
VADER: Designed for social media and short texts, giving a compound sentiment score.
AFINN: A lexical method assigning scores to words, indicating sentiment intensity.

The final decision of the committee is determined by a majority vote approach, providing a balanced sentiment analysis.

Additional Information

Developed by Ramon Mayor Martins (2023)
E-mail: rmayormartins@gmail.com
Homepage: https://rmayormartins.github.io/
Twitter: @rmayormartins
GitHub: https://github.com/rmayormartins

Notes

The committee's decision is democratic, based on the majority vote from the utilized methods.
The project is implemented in Python and hosted on Hugging Face Spaces.