CMT Viewer

CMT Viewer provides a domain-focused analytics capability for editors, moderators, and researchers who need a centralized view of comments attached to content items such as articles, threads, and support posts. It ingests comment feeds from CMSs, forums, or help desks and presents structured summaries, trend signals, and quality indicators without exposing raw feeds to analysis. The tool standardizes inputs into a common schema to enable consistent analytics and cross-item comparisons across platforms.
Conceptually, the tool ingests source identifiers and optional date ranges, parses comment threads, computes per-comment sentiment, flags moderation signals, and aggregates results at thread and item levels. Outputs include counts, sentiment distributions, top threads, and export-ready payloads. Advanced users can plug in custom lexicons or time windows to tailor the analysis.
Beneficiaries include editors improving response quality, community managers prioritizing actions, and researchers studying discourse dynamics. The tool supports multi-source analysis, privacy-preserving processing, and exports to JSON or CSV for downstream workflows. It highlights trends such as rising negativity, recurring topics, and thread fatigue, enabling proactive moderation and content strategy.
Unique differentiators are privacy-first processing, multi-source normalization, configurable scoring, and flexible exports. It focuses solely on analysis rather than content editing actions, making it suitable for audits, reports, and research. Typical use cases include quarterly sentiment audits, moderator workload forecasting, and topic trend reporting.