Customer Sentiment Analysis with iWeaver

Run customer feedback sentiment analysis on reviews, support tickets, survey responses, and chat transcripts. iWeaver classifies positive, negative, and neutral feedback, then returns a summary, sentiment scores, and structured output you can export for reporting or issue prioritization.

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How to Analyze Customer Sentiment

01

Add Feedback

Paste customer feedback, upload documents, or add web pages containing reviews, tickets, survey comments, chats, or email responses.

02

Run Analysis

Ask iWeaver to analyze customer sentiment, group recurring themes, and classify each text item into positive, negative, or neutral.

03

Review Results

Review the summary, sentiment labels, and structured output, then export report-ready results for sharing, tracking, or follow-up.

Why use iWeaver for customer sentiment analysis?

01

Flexible Inputs

Bring in customer reviews, support tickets, survey responses, chat transcripts, documents, images, or web pages so scattered feedback can be analyzed in one place.

02

Clear Labels

iWeaver organizes customer sentiment analysis into readable labels, sentiment scores, and theme-level findings, making open-text feedback easier to scan, compare, and discuss.

03

Structured Results

Results are easier to use when summaries, key points, and structured output stay connected to the original feedback, helping teams move from comments to actions.

04

Daily Access

Teams can test real customer sentiment workflows with three free uses per day before moving to Pro or Unlimited plans for regular analysis needs.

05

Useful Exports

Export findings as doc, pdf, xmind, svg, or markdown when sentiment results need to be shared, reviewed later, or added to reporting workflows.

Use Cases for Customer Sentiment Analysis

Review Analysis

Review Analysis

Teams collect customer reviews from stores, communities, and web pages, but it is hard to judge overall sentiment across hundreds of short comments. iWeaver analyzes the review text, groups recurring themes, and returns sentiment labels, summary notes, and export-ready structured output for reporting.

Analyze Reviews
Ticket Triage

Ticket Triage

Support teams work through ticket queues, chat transcripts, and email replies, yet negative cases and repeated complaints can stay buried inside open-text conversations. iWeaver classifies customer sentiment, highlights common issues, and produces summaries and structured results that help triage follow-up, escalation, and weekly support reporting.

Review Tickets
Survey Reading

Survey Reading

Researchers and CX teams review survey responses, NPS comments, and interview notes, but manual coding makes it difficult to spot sentiment patterns and leading pain points. iWeaver analyzes the text, pairs themes with sentiment, and delivers a readable summary, key points, and exports for presentations or monthly insight reports.

Summarize Surveys
Trend Tracking

Trend Tracking

Operations teams track feedback from reviews, tickets, and chat logs over time, but channel-by-channel reading makes trend shifts easy to miss. iWeaver processes each source, organizes sentiment results into structured output, and gives teams summaries and exports they can compare across periods, products, or recurring issue themes.

Track Trends

Customer Sentiment Analysis FAQ

Start Customer Sentiment Analysis

Sign up, run customer feedback sentiment analysis on real reviews or tickets, and get structured results with three free uses each day.

Start Analyzing