Classify User Content by Abuse Type in an Excel workbook Using Tisane

The Scenario

A new batch of flagged comments landed in your queue. Three thousand rows in the 'Comment' column of an Excel workbook, pulled from the platform's moderation pipeline at 9 PM last night. By tomorrow morning's standup your team needs each row tagged with an abuse category, a severity level, and a recommended action — otherwise the moderation team spends three hours triaging manually, inconsistently, under pressure.

The bad version:

• Build a keyword filter in Excel that checks for a list of banned words, watch it catch obvious profanity and completely miss context-dependent hate speech and coded language
• Try running a pre-trained binary classifier that returns safe/unsafe but no severity, realize you still need a second pass to add severity labels
• Manually categorize the 900 rows the classifier couldn't handle, realize you'll be at your desk past midnight

The moderation team needs this by standup. A keyword list isn't classification. Manual review at 3,000 rows isn't feasible.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It uses Tisane's abuse detection to classify each row and write the category, severity, and recommended action directly back into your workbook.

Analyze the 'User Post' column with Tisane for problematic content, then create a 'Moderation Priority' column where High = abuse detected, Medium = flagged, Low = clean

What You Get

• A 'Moderation Priority' column: High, Medium, or Low per row based on Tisane's moderation signal
• High = Tisane detected abuse (hate speech, cyberbullying, profanity, sexual content)
• Medium = Tisane flagged the content but with uncertainty
• Low = no moderation signals detected
• Rows where no abuse is detected get 'Low' — no blank cells, no ambiguity

What If the Data Is Not Quite Ready

Comments still contain HTML formatting from the platform export

Before analyzing, strip any HTML tags from the 'Comment' column, then run Tisane abuse detection and write 'Abuse Type', 'Severity', and 'Safe to Publish' into the respective columns

You only need to process rows where the 'Status' column says 'Pending Review'

For all rows where 'Status' is 'Pending Review', run Tisane abuse classification on the 'Comment' column and fill in 'Abuse Type', 'Severity', and 'Safe to Publish' — leave all other rows untouched

You want three separate columns instead of a single priority column

Run Tisane text analysis on every row in the 'Comment' column and add 'Abuse Type', 'Severity', and 'Safe to Publish' columns based on the detected moderation signals

Full pipeline: classify, sort by priority, and move high-severity rows to a separate worksheet

Run Tisane abuse detection on all 3,000 rows in the 'Comment' column, write 'Abuse Type', 'Severity', and 'Safe to Publish' into their columns, then copy all rows where 'Severity' is 'High' to a new worksheet called 'Urgent Review', sorted by 'Abuse Type'

Classification, triage, and routing in a single prompt.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a column of user-generated content that needs moderation classification, then ask it to run Tisane abuse detection across all rows. To combine this with full content analysis, see bulk text analysis with Tisane. The complete Tisane integration is documented at the hub.