Archive's AI-powered Sentiment Analysis feature automatically watches and classifies the sentiment of user-generated content (UGC) for your brand. This intelligent system analyzes videos, images, captions, and transcripts to provide contextual understanding of how your audience feels about your brand.
How Sentiment Analysis Works
The AI analyzes content and classifies it into five distinct categories:
Positive - Content expressing favorable opinions or experiences
Negative - Content expressing unfavorable opinions or criticism
Neutral - Factual or informational content without clear sentiment
Mixed - Content containing both positive and negative elements
Not Applicable - Content where sentiment classification isn't relevant
What sets Archive's sentiment analysis apart is its contextual understanding. The AI considers brand-specific context when determining sentiment, making it significantly more accurate than generic sentiment analysis tools.
Where to Find Sentiment Analysis
Individual Content View: When opening individual pieces of UGC in the social listening view, you'll see a new sentiment field displaying the classification. Hover over the question mark icon for a detailed explanation of why the content received that particular sentiment classification.
Content Filtering: On the social listening content page, use the filtering capabilities to view content by any sentiment or combination of sentiments. This allows you to quickly focus on the type of content most relevant to your current needs.
Reporting Dashboard: The reporting section includes a new sentiment analysis chart showing the distribution of sentiment over time as a percentage breakdown. Use the toggleable controls to compare different sentiment types and track trends.
Key Benefits
Solve Content Overwhelm: Brands receive thousands of tagged posts daily. Manual review of all content is impossible, but sentiment analysis enables quick understanding of community sentiment trends.
Efficient Content Discovery: Quickly identify positive content perfect for ads and marketing campaigns, while also spotting negative content that requires attention for crisis monitoring or product feedback.
Track Brand Perception: Monitor how brand perception changes over time with historical sentiment data, helping you measure the impact of campaigns, product launches, or brand initiatives.
Strategic Decision Making: Use sentiment insights to inform marketing strategies, product development decisions, and customer service priorities based on real audience feedback.