Integrate Text with Webhooks
Text
Text and natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, and more.
Webhooks
Webhooks are user-defined HTTP callbacks.
generic tier-2
generic tier-2
Sentiment
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- Text
- The text to analyse.
- Polarity
- The sentiment polarity.
- Strength
- The sentiment strength.
- Language
- The detected language that the source text was written in.
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Extract Sentiment
Extract positive/negative sentiment from the given some text.
Requests
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- URL
- —
- Method
- —
- Content Type
- —
- Headers
- To construct headers, you can iterate over a list from another pipe. If a header and respective value contains newlines, each line in the name and corresponding line in value are treated as a Header: Value pair. For example having a Name “X-One↵X-Two” and a Value “one↵two” will result in two headers: “X-One: One” and “X-Two: two” (↵ stands for a newline, like pressing the enter key).
- Body
- Hint: you can use
to_json
filter like{{a|to_json}}
or{{a.attribute|to_json}}
to obtain json representation of an object. You can even combine objects exported from several pipes, like{{ {'trello_card': A, 'salesforce_task': b}|to_json }}
.
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Incoming Request
You can use ApiRequest.io to make a test request.
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Make Request
Makes a HTTP request.
You can use RequestBin to see what this pipe is sending or to inspect and debug webhook requests.
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Forward Request
Json Requests
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- Method
- —
- Headers
- —
- Body
- —
- Body JSON
- —
- Origin IP
- —
- URL Params
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- Result
- —
- Result Link
- —
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Request for JSONP
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JSONP Response