Methodology

How the Pulse Sentiment Index Works

Transparency is at the core of PulseToday. Here is a detailed breakdown of how we collect, analyze, and publish public sentiment data.

Data Collection

We continuously monitor publicly available social media conversations, forums, and review platforms across multiple languages and geographies. Our system processes over 50 million data points monthly.

Conversation Filtering

Advanced NLP models filter relevant conversations by industry, brand, and topic. We exclude bot-generated content, spam, and duplicate posts to ensure data integrity.

Sentiment Analysis

Each conversation is analyzed for sentiment polarity (positive, negative, neutral) using context-aware language models trained on industry-specific datasets.

Theme Extraction

Topic modeling identifies the key themes driving conversations: mobile app stability, pricing, customer support, and more. These become the Pulse Priority List.

PSI Calculation

The Pulse Sentiment Index combines volume, polarity, reach, and recency into a single composite score (0-100). Scores are calculated monthly with weekly interim updates.

Ranking & Publication

Brands are ranked within their industry by PSI score. Results are reviewed by our editorial team for accuracy before publication. Full methodology documentation is available in premium reports.

Questions about our methodology?

We believe in full transparency. If you have questions about how we calculate scores or want to discuss our methodology, please reach out to our research team.