feat(Sentiment Analysis Node): Implement Sentiment Analysis node #10184
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This was referenced Jul 25, 2024
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packages/@n8n/nodes-langchain/nodes/chains/SentimentAnalysis/SentimentAnalysis.node.ts
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burivuhster
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Jul 26, 2024
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✅ All Cypress E2E specs passed |
Passing run #6154 ↗︎
Details:
Review all test suite changes for PR #10184 ↗︎ |
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MiloradFilipovic
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* master: feat(HTTP Request Node): Add option to disable lowercase headers (#10154) feat: Recovery option for jsonParse helper (#10182) fix: Better error message when calling data transformation functions on a null value (#10210) refactor: Delete mistakenly commited node file (no-changelog) (#10213) refactor(editor): Add Infisical deprecation notice (#10191) feat(editor): Show new executions as `Queued` in the UI, until they actually start (#10204) refactor: Update Langchain modules & add Ollama tools support (#10208) feat(Sentiment Analysis Node): Implement Sentiment Analysis node (#10184) fix: Add original error message to messages, do not obfuscate if description provided in options (no-changelog) (#10202) fix(Google Sheets Node): Fix Google Sheet URL regex (#10195) fix(Google Sheets Node): Add column names row if sheet is empty (#10200) fix(Google Sheets Node): Do not insert row_number as a new column, do not checkForSchemaChanges in update operation (#10201) docs: Update credential urls (no-changelog) (#10193) fix(editor): Add back prompt requesting to save unsaved changes (no-changelog) (#10190) fix(HTTP Request Node): Resolve max pages expression (#10192)
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Summary
This PR introduces a new Sentiment Analysis node. The node leverages LLM to analyze and categorize the sentiment of input text. Users can easily integrate this node into their workflows to perform sentiment analysis on text data. The node is flexible enough to handle various use cases, from basic positive/negative classification to more nuanced sentiment categories
Features
Review / Merge checklist
release/backport(if the PR is an urgent fix that needs to be backported)