Lumetrics YouTube Comment Sentiment Analyser

YT Comment Sentiment Analyser — AI-Powered YouTube Comment Analysis Understand what your YouTube audience is really saying — in seconds. YT Comment Sentiment Analyser is a powerful Chrome Extension that uses Google Gemini AI to instantly classify YouTube comments by sentiment and buyer journey stage, giving you a clear, visual breakdown of audience emotion and intent in a beautifully designed 4×3 matrix dashboard. Whether you're a content creator, digital marketer, brand strategist, social media manager, or YouTube SEO specialist, this tool gives you the kind of deep audience intelligence that used to take hours of manual reading — delivered in under 30 seconds. 🔍 WHAT DOES IT DO? When you open a YouTube video and scroll through the comments section, you're seeing raw, unstructured audience feedback. Some comments are glowing praise. Some are frustration. Some signal that a viewer is about to buy something. Some are totally off-topic memes. Without a system to organise this data, it's nearly impossible to extract actionable insight at scale. YT Comment Sentiment Analyser solves this by scraping the visible comments on any YouTube video page, sending them to Google's Gemini 2.5 Flash AI model, and returning a fully structured analysis that classifies every comment across two dimensions simultaneously: Sentiment — how the viewer feels (Positive, Neutral, or Negative) Funnel Stage — where the viewer is in the buyer journey (Awareness, Consideration, Purchase, or Generic) The result is a clean 4×3 matrix showing the intersection of these two dimensions — so you can see, for example, exactly how many Positive-Awareness comments there are vs. Negative-Consideration comments, and everything in between. 📊 THE 4×3 SENTIMENT × FUNNEL MATRIX The centrepiece of the extension is the Sentiment × Funnel Matrix — a 12-cell grid that maps every classified comment to one of twelve categories: → Positive × Awareness — enthusiastic viewers discovering your topic or brand for the first time → Positive × Consideration — engaged viewers actively researching and leaning toward a decision → Positive × Purchase — satisfied buyers, ready-to-buy signals, post-purchase praise → Positive × Generic — happy but off-topic comments, general positivity → Neutral × Awareness — curious newcomers asking basic questions without strong emotion → Neutral × Consideration — analytical viewers comparing options, seeking more information → Neutral × Purchase — price checkers, availability questions, neutral post-purchase feedback → Neutral × Generic — factual, informational, or unclassifiable neutral comments → Negative × Awareness — viewers with a bad first impression or confused by the topic → Negative × Consideration — doubters, skeptics, viewers who need convincing → Negative × Purchase — complaints about pricing, delivery, product dissatisfaction → Negative × Generic — off-topic criticism, trolling, or general negativity Each cell shows the raw comment count plus the percentage of total comments. Hover over any cell to see the exact figures. Below the matrix, horizontal bar charts give you an instant visual breakdown of total Sentiment distribution and total Funnel Stage distribution across all analysed comments. 🤖 POWERED BY GOOGLE GEMINI 2.5 FLASH This extension uses Google's Gemini 2.5 Flash model — one of the fastest and most cost-efficient large language models available — to perform nuanced natural language classification across hundreds of comments in a single API call. Unlike simple keyword-matching sentiment tools, Gemini understands context, sarcasm, mixed emotions, and subtle buying signals. It reads comments the way a human analyst would — just thousands of times faster. The model is accessed directly from your browser using your own Google AI Studio API key. There is no middleman server, no subscription, and no data stored anywhere except your own Chrome local storage. Your API key and your data stay with you. ⚡ HOW TO USE IT — 3 SIMPLE STEPS Step 1: Open any YouTube video and scroll down to load the comments. The more comments visible on screen, the richer your analysis. Load as many as you need by scrolling — the extension will pick up everything that has rendered on the page. Step 2: Click the YT Comment Sentiment Analyser icon in your Chrome toolbar. If it's your first time, click the settings gear icon and paste in your Google Gemini API key (available for free at Google AI Studio — aistudio.google.com). Your key is saved locally and never shared. Step 3: Click "Analyse Comments". Within 10–30 seconds depending on comment volume, your full sentiment matrix, bar charts, and summary statistics will appear. That's it. 👤 WHO IS THIS FOR? YouTube Content Creators — Understand your audience on a deeper level. Are most of your viewers still in the awareness phase, or are they ready to buy? Are your negative comments coming from skeptics in the consideration stage, or dissatisfied buyers post-purchase? This extension answers questions like these instantly. Digital Marketers & Brand Managers — Monitor YouTube sentiment around your brand, products, or competitors. Track how comments shift after a campaign launch. Identify which funnel stages are underserved by your content strategy and adjust accordingly. Social Media Analysts — Add YouTube comment data to your research toolkit. Export qualitative insights from comment sections that would otherwise take hours to manually analyse. Present structured, visual findings to clients or stakeholders with zero manual tagging. Market Researchers — YouTube comment sections are one of the richest and most honest sources of public opinion available. This extension lets you quickly scan what real people think about any topic, product, or brand — classified by emotion and intent. YouTube SEO Specialists — Comment engagement signals matter. Understanding the sentiment and intent behind comments helps you optimise content for audience retention, engagement, and conversion. Are A…