with Mode and MonkeyLearn?
Extracts information from texts with a given extractor. See the docs here
Uploads data to a classifier. This component can be used to upload new data to a classifier, to update the tags of texts that have already been uploaded, or both. See the docs here
The Mode API provides programmatic access to Mode's analytics platform, allowing you to automate interactions with your Mode workspace. Using Mode with Pipedream, you can create workflows that interact with reports, queries, and spaces, or even manage members and permissions. This can include tasks like triggering a report run, fetching query results, or syncing users from other systems into Mode. By leveraging Pipedream's serverless platform, you can build robust, event-driven automations that integrate Mode with hundreds of other apps without the need for dedicated infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mode: {
type: "app",
app: "mode",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.mode.com/api/account`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.mode.$auth.token}`,
password: `${this.mode.$auth.password}`,
},
})
},
})
MonkeyLearn is a text analysis platform that employs machine learning to extract and process data from chunks of text. By leveraging the MonkeyLearn API on Pipedream, you can automate the categorization of text, extract specific data, analyze sentiment, and more, all in real-time. This enables the development of powerful custom workflows that can analyze customer feedback, automate email processing, or provide insightful analytics on textual data from various sources.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
monkeylearn: {
type: "app",
app: "monkeylearn",
}
},
async run({steps, $}) {
const data = {
"data": [
"This is a great tool!",
]
}
return await axios($, {
method: "post",
url: `https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/`,
headers: {
"Authorization": `Token ${this.monkeylearn.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})