Who should use the Analyze sentiment workflow?
Teams or solo builders working on finance & legal tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
3-step pipeline — follow each step in order
1Setup · Step 1 of 3
Open task pageGather Market Sentiment Data
Collect and prepare market sentiment data from sources like news, reports, and social media to set the foundation for sentiment analysis.
Why this matters
Provides initial sentiment context and reduces noise in later analysis, ensuring inputs are relevant.
What you get
Market sentiment data is aggregated and cleaned, ready for the next step.
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2Input · Step 2 of 3
Open task pageCollect Financial Data
Gather financial metrics, earnings reports, and other quantitative data to enrich the sentiment analysis with objective financial context.
Why this matters
Financial data provides hard numbers that validate or contrast with sentiment signals, improving accuracy.
What you get
Relevant financial data is compiled and linked to the sentiment dataset.
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3Deliver · Step 3 of 3
Open task pageExecute Sentiment Analysis
Run sentiment analysis on the combined market sentiment and financial data to produce a final sentiment score and report.
Why this matters
This is the core step that transforms raw data into actionable sentiment insights, directly achieving the workflow goal.
What you get
A comprehensive sentiment analysis report is generated, highlighting positive, negative, and neutral trends.
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