Aspect-Based Sentiment Analysis

Powered by BERT + BiLSTM Deep Learning Model

Analyze e-commerce reviews with advanced NLP and extract aspect-wise sentiments

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BERT + BiLSTM Model

Hybrid deep learning architecture combining contextual embeddings with sequential learning

Aspect Extraction

Automatically identifies product aspects: battery, price, quality, performance, and more

Visual Analytics

Interactive charts and statistics for comprehensive sentiment insights

How It Works

1

Submit Review

Enter single review or upload CSV file

2

NLP Processing

Text cleaning, tokenization, aspect extraction

3

Sentiment Analysis

BERT + BiLSTM model classification

4

View Results

Aspect-wise sentiments and visualizations

Supported Product Aspects

Battery Price Quality Performance Delivery Display Camera Design

Technical Stack

Python 3.8+

Backend

Django 4.2

Web Framework

PyTorch

Deep Learning

BERT

Transformers