Stop Drowning in Reviews. Start Fixing Your Business.

By leveraging our advanced CLI-based NLP pipeline, instantly process thousands of reviews to extract and frequency-rank the exact operational failures from your customer reviews that is impacting your valuable company.

SentimentScopeAI is built for speed & convenience

Zero cloud latency. Zero infrastructure headaches. Process thousands of reviews natively on your own hardware with a simple, drop-in Python package.

Optimized NLP Engine

Powered by optimized transformer models that run entirely on your CPU or GPU.

Privacy as Priority

Run natively. Store locally. SentimentScopeAI never trains on your customer feedback. All analysis happens on your hardware.

Ranked Insights

Automatically clusters and ranks issues by frequency. Focus on what matters most.

Simple CLI, Powerful Results

Get started with just a few lines of Python. Our intuitive CLI makes it easy to analyze reviews and extract important insights.

  • Hardware-optimized batch processing (via batch_size)
  • Pull raw reviews directly via Yelp URL
  • Initialize with your local JSON and business context
Instructions
# 01. Target Environment
# 02. Install via pip, paste each line to the terminal sequentially
pip uninstall torch torchvision torchaudio -y
pip install torch==2.8.0 intel-extension-for-pytorch==2.8.10+xpu --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
pip install sentimentscopeai
# 03. Run SentimentScopeAI in any Python file
from sentimentscopeai import SentimentScopeAI

# Pass a JSON file, company name, and service name
analyzer = SentimentScopeAI("reviews.json", "X", "Y")

# Load your reviews from Yelp if needed
analyzer.import_yelp_reviews("yelp.com/biz/company")

# Generate the summary
print(analyzer.generate_summary(batch_size=8))

See SentimentScopeAI in Action

Still on the fence? Watch the terminal process raw reviews in real-time so you can see exactly what you'll get before you install.

terminal

Transparency & Full Disclosure: Recorded on an integrated Intel Arc GPU (XPU) device. Real-time processing speeds will vary based on your local hardware capabilities (e.g., NVIDIA CUDA setups will yield faster speeds). This demonstration processed a curated sample of 50 reviews, and the video was sped-up by 10x (the real process time was 1 minute and 16 seconds). As of now, hardware acceleration is only supported on Intel and NVIDIA GPUs; support for AMD GPUs or Apple Silicon will be added in the future.

Built by Vignesh Thondikulam

I am a Robotics major specializing in artificial intelligence and natural language processing. SentimentScopeAI was built to give developers a secure, hardware-accelerated CLI alternative to expensive cloud APIs.

Vignesh Thondikulam