Datumbox
Datumbox offers an innovative Machine Learning platform specialized in Natural Language Processing.
Integrate the Datumbox API with the Go API
Setup the Datumbox API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Datumbox and Go remarkably fast. Free for developers.
Popular Datumbox and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Datumbox#
The Datumbox API offers a robust suite of Machine Learning services that can enrich your applications with advanced text analysis, sentiment analysis, classification, and more. Leveraging this API on Pipedream allows you to create powerful serverless workflows that connect Datumbox's capabilities with numerous other apps and services. Automate content categorization, extract insights from user feedback, or monitor social media sentiment in real-time.
Connect Datumbox#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
datumbox: {
type: "app",
app: "datumbox",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://api.datumbox.com/1.0/SentimentAnalysis.json`,
params: {
api_key: `${this.datumbox.$auth.api_key}`,
text: `YOUR_TEXT`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}