Fellou combines AI sentiment analysis with visual reporting: automatically cluster positive and negative feedback, quantify sentiment metrics, generate Canva-style charts and tables, and continuously update and share, helping brands and e-commerce companies turn original comments into decision-level insights in minutes.
1. Why Choose Fellou for Brand Sentiment
Analysis 1. Automatic Clustering of Positive and Negative Feedback
Fellou's AI deep search and proxy execution aggregate comments scattered across various platforms into a unified view, cluster them according to theme and sentiment polarity, identify high-frequency pain points and highlights, and reduce manual annotation costs.
2. Indicator sentiment map
AI sentiment analysis maps comments into quantifiable indicators, such as positive and negative proportions, net sentiment scores, topic popularity, and changing trends, and supports slicing by brand, product line, and time window.
3. Canva-style visual reports
The system generates visual reports with one click: trend lines, theme bubbles, contribution pie charts, detail tables, etc., which are suitable for directly entering review meetings or high-level presentations without manual typesetting.
4. Continuous update and shareability
Reports can be set to automatically refresh and shared with the team to ensure "the same source of truth", reduce export and version confusion, and facilitate multi-department collaboration in marketing, public relations, and products.
2. Three steps to get started (zero threshold landing)
(1) Connect and scrape
Select the public web page and authorized account source, define the brand name, competitor name, and keyword white/black list, and start in-depth search and data deduplication.
(2) Analysis and annotation
Enable sentiment classification, topic extraction and entity identification rules, configure abnormal thresholds (sudden increase in negativity, explosive topics), and output the list of "high-risk public opinion".
(3) Reporting and collaboration
Selectthe chart template and color scheme in the visual panel to generate the "Brand Sentiment Weekly Report/Monthly Competitive Product Comparison Report", and set the sharing permissions and update frequency.
3. Typical scenarios and templates
1. Product release monitoring
The first week focuses on the three major themes of "function availability/price sensitivity/after-sales experience"; The negative surge triggers a work order related to customer service and public relations.
2. Customer service and public relations early warning
Establish a dual threshold model of "negative proportion × propagation speed", which automatically generates clarification points and FAQ drafts above the threshold to reduce response delays.
3. Word-of-mouth governance of e-commerce
storesMake reason clustering and executable suggestions for negative reviews, link operations to modify graphic details or after-sales words, and track the sentiment recovery after the changes.
4. Risk control and indicator recommendations
1. Data compliance
Follow the platform terms and privacy specifications, authorize the minimum login data, and enable access audit and trace retention.
2. Sampling and bias
Weighting the composition and region of the platform to avoid the "single platform amplification effect"; Semantic deduplication of brush volume and duplicate text.
3. The core KPIs
look at four items: net sentiment score, theme coverage, early warning hit rate, and sentiment recovery after suggestion adoption, forming a closed-loop iteration.
Frequently Asked Questions (Q&A)
Q: How does Fellou's AI sentiment analysis achieve "automatic clustering of positive and negative feedback"?
A: Through in-depth search, multi-source comments are gathered, combined with topic extraction and sentiment classification, positive and negative and subdivided topics are automatically grouped, and traceable detailed samples and evidence fragments are output.
Q: How do I embed Fellou's visual reports into my team's processes?
A: Use the shared panel and regular updates to connect the "Brand Sentiment Weekly Report/Competitive Product Comparison Monthly Report" to the market, public relations and product meetings, and set thresholds to trigger early warnings and task assignments.
Q: What are the advantages of Fellou compared to traditional questionnaires or manual BI?
A: Fellou replaces manual sampling and cleaning with automatic grabbing + AI clustering, and the report template can be changed immediately after use, significantly reducing the link and time cost, which is suitable for high-frequency iteration.
Q: What data sources can be accessed for sentiment analysis?
A: It can cover user comments and posts on public web pages and authorized platforms, combined with multi-channel crawling and parallel search, and supports continuous updates and cross-platform comparison.
