Consumer Sentiment Analysis with iWeaver
Run consumer sentiment analysis from reviews, surveys, support tickets, and chat transcripts. iWeaver identifies sentiment and emotions, then returns a summary, key points, and structured output for teams tracking complaints, product issues, and customer experience signals.
How to run customer sentiment analysis
Upload Feedback
Upload reviews, survey responses, tickets, emails, or transcripts from the customer conversations you want to examine.
Analyze Sentiment
Let iWeaver read the text, identify polarity and emotions, and group recurring topics behind customer reactions.
Review Outputs
Review sentiment scores, summaries, and structured notes, then export findings for reporting, handoff, or deeper analysis.
Why use customer sentiment analysis here?
Flexible Inputs
iWeaver works with reviews, support tickets, survey text, webpages, uploaded documents, and conversation transcripts, so scattered customer feedback can be examined in one place.
Richer Signals
Beyond basic positive or negative labels, iWeaver helps surface sentiment, emotion, and issue patterns, making it easier to explain why customers react the way they do.
Readable Outputs
Results are organized into summaries, key points, and structured output that teams can scan quickly when preparing reports, product reviews, or support follow-up.
Broad Coverage
Because iWeaver can process text, documents, webpages, audio, and video, teams can analyze customer statements even when feedback starts as recordings or mixed-source materials.
Export Options
When insights need to be shared, iWeaver can export summaries and structured results as doc, pdf, xmind, svg, or markdown files for team reporting.
Use Cases for Consumer Sentiment Analysis
Review Monitoring
Teams often collect reviews from marketplaces, app stores, and survey forms but struggle to spot repeated complaints, praise, or feature requests across hundreds of comments. iWeaver reads the text, groups sentiment themes, and delivers a summary, key points, and structured output for reporting and product discussions.
Analyze Reviews
Survey Analysis
Researchers and CX teams use survey responses to measure satisfaction, yet open-text answers are slow to review and hard to compare across topics. iWeaver analyzes each response for sentiment and emotion, then returns notes, summaries, and aspect-based findings that show what drives positive or negative feedback.
Review Surveys
Ticket Triage
Support leaders review tickets, chat transcripts, and emails when they need to find frustration, confusion, or escalation risk, but the volume makes manual reading unreliable. iWeaver processes the conversations, highlights sentiment signals and recurring issues, and prepares structured notes and exportable summaries for team follow-up.
Check Tickets
Social Tracking
Marketing teams monitor social posts, comment threads, and linked webpages to understand brand perception, but signal gets lost when reactions are spread across channels. iWeaver gathers the text, interprets sentiment patterns, and produces summaries, key points, and structured exports that support campaign reviews and brand reporting.
Track SentimentConsumer Sentiment Analysis FAQ
Start Consumer Feedback Analysis
Upload customer feedback, analyze sentiment, and export structured insights with three free uses each day.
Start Analyzing