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metadata
title: Bert Sentiment Analysis
emoji: 🦀
colorFrom: pink
colorTo: green
sdk: docker
pinned: false
short_description: 'BERT-Based Sentiment Analyzer '

🚀 BERT Sentiment Analysis - Hugging Face Spaces

This is a Flask-based web application that performs sentiment analysis using a pre-trained BERT model from Hugging Face.

🔍 Model Used: philipobiorah/bert-imdb-model
🌍 Live App: Try it on Hugging Face Spaces

📌 How It Works

  1. Enter a text in the input field OR upload a CSV file.
  2. The model classifies the sentiment as Positive or Negative.
  3. If a file is uploaded, results are displayed in a bar chart.

⚙️ Model Details

  • Model Name: philipobiorah/bert-imdb-model
  • Base Model: bert-base-uncased
  • Framework: transformers (Hugging Face) + torch (PyTorch)
  • Task: Binary Sentiment Classification (Positive / Negative)

📦 Running Locally

1️⃣ Clone the Repository 

git clone https://huggingface.co./spaces/philipobiorah/bert-imdb-model
cd bert-imdb-model


Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference