Sentiment Analyst
Sentiment, decoded

Free sentiment analysis for your CSV & Excel data.

Sentiment Analyst is a free online sentiment analysis tool. Upload a CSV or Excel file of reviews, comments or survey responses and instantly score every row as positive, neutral or negative — with charts, filters and one-click export. No signup, runs entirely in your browser.

01

Upload

We auto-detect the column holding your comments — usually 'text', 'comment', or 'review'.

02

Analyze

A lexicon-based engine scores tone, intensity and negation row by row, instantly in your browser.

03

Visualize

See a clean breakdown with a pie chart and every comment tagged in a sortable table.

What is sentiment analysis?

Sentiment analysis (also called opinion mining) is a natural language processing technique that classifies a piece of text as positive, negative or neutral. It turns thousands of open-ended comments, reviews or survey responses into a measurable signal you can act on — without reading every single row by hand.

Why use Sentiment Analyst?

  • Free and instant — no account, no API keys, no setup.
  • Private by design — files are processed locally in your browser and never uploaded.
  • CSV & Excel ready — works with .csv, .xlsx and .xls out of the box.
  • Visual results — pie chart breakdown plus a filterable, exportable table of scored rows.

Who is it for?

Product teams analyzing customer reviews, researchers coding open-ended survey responses, marketers tracking social comments, support leads triaging tickets, and anyone who needs fast sentiment analysis on a spreadsheet without writing code or learning Python.

Frequently asked questions

How accurate is the sentiment analysis?

Sentiment Analyst uses a tuned lexicon-based engine that handles intensifiers and negation, giving reliable directional sentiment on English text — ideal for review and survey data.

What file formats are supported?

CSV (.csv) and Excel (.xlsx, .xls). The text column is auto-detected.

Is there a row limit?

No artificial limit — performance depends on your device, but tens of thousands of rows are handled comfortably.