Sentiment Analysis of Video Reviews

Video reviews carry signals that text cannot capture: facial expressions, tone of voice, product handling, and the physical context of use. AnalyzeG processes these signals through a pipeline that produces actionable sentiment data for your Power BI dashboard.

The 5-Stage Multimodal & Indian Vernacular Sentiment Pipeline

1. 5-Layer Forensic Verification First: Every submission passes KYC identity profiling, Biometric Face Match & liveness, Product-on-Camera computer vision, device forensics, and 100% human moderation before analysis.

2. Structured Pre-Video Buyer Prompts: Before filming, buyers answer structured diagnostic prompts capturing primary purchase driver, usage duration, specific disappointment/defect trigger, and named competitor switch target.

3. English, Hindi & Hinglish Multimodal NLP: The engine analyzes code-switched Indian speech (Hinglish, Hindi, regional idioms) alongside visual usage cues (skin finish on Indian Fitzpatrick IV–VI tones, packaging/dispenser mechanics, facial expressions) to score attribute-level sentiment.

4. Cohort & Channel Enrichment: Every record is tagged across 22 standardized fields including State, City Tier (Metro/Tier-1/2/3), Age Band, Gender, and Purchase Channel (Nykaa, Amazon, Flipkart, Blinkit, GT).

5. 100% Auditable Ground-Truth Delivery: Every sentiment score in your Power BI dashboard and CSV/JSON export links directly to the timestamped 30-second video so your CMI team can verify AI classifications against human ground truth.

What You See in Power BI