TextRazor

The Natural Language Processing API

Integrate the TextRazor API with the Python API

Setup the TextRazor API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate TextRazor and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of TextRazor

TextRazor is an API which provides powerful Natural Language Processing (NLP)
tools to help developers add enhanced analysis and structuring capabilities to
their applications. With its easy-to-use API, developers can analyze and
extract meaning from text, enabling richer applications in a range of
industries.

Some of the features include:

  • Morphological Analysis
  • POS Tagging
  • Entity Extraction
  • Semantic Analysis

Here are some examples of the possibilities using TextRazor:

  • Automated Summarization and Keyword Extraction
  • Natural Language Processing for Chatbots
  • Topic and Sentiment Analysis
  • Media Intelligence
  • Content Categorization
  • Question Answering
  • Text-to-Speech Recognition
  • Image Recognition
  • Fraud Detection
  • Spam Detection
  • Data Clustering

Connect TextRazor

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textrazor: {
      type: "app",
      app: "textrazor",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.textrazor.com/account/`,
      headers: {
        "X-TextRazor-Key": `${this.textrazor.$auth.api_key}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}