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Integrate Monkey Learn with Zoho Writer

Appy Pie Connect allows you to automate multiple workflows between Monkey Learn and Zoho Writer

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About Monkey Learn

MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.

About Zoho Writer

Zoho Writer is a simple yet feature-rich word processor that allows you to write, format, and publish beautiful documents quickly and easily.

Zoho Writer Integrations

Best ways to Integrate Monkey Learn + Zoho Writer

  • Monkey Learn Integration Monkey Learn Integration

    Zoho Writer + Monkey Learn

    Classify Text in monkeylearn when Published Document is added to Zoho Writer Read More...
    Close
    When this happens...
    Monkey Learn Integration Published Document
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Zoho Writer + Monkey Learn

    Extract Text in monkeylearn when Published Document is added to Zoho Writer Read More...
    Close
    When this happens...
    Monkey Learn Integration Published Document
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration Monkey Learn Integration

    Zoho Writer + Monkey Learn

    Upload training Data in monkeylearn when Published Document is added to Zoho Writer Read More...
    Close
    When this happens...
    Monkey Learn Integration Published Document
     
    Then do this...
    Monkey Learn Integration Upload training Data
  • Monkey Learn Integration Monkey Learn Integration

    Zoho Writer + Monkey Learn

    Classify Text in monkeylearn when New Document is created in Zoho Writer Read More...
    Close
    When this happens...
    Monkey Learn Integration New Document
     
    Then do this...
    Monkey Learn Integration Classify Text
  • Monkey Learn Integration Monkey Learn Integration

    Zoho Writer + Monkey Learn

    Extract Text in monkeylearn when New Document is created in Zoho Writer Read More...
    Close
    When this happens...
    Monkey Learn Integration New Document
     
    Then do this...
    Monkey Learn Integration Extract Text
  • Monkey Learn Integration {{item.actionAppName}} Integration

    Monkey Learn + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Monkey Learn + Zoho Writer in easier way

It's easy to connect Monkey Learn + Zoho Writer without coding knowledge. Start creating your own business flow.

    Triggers
  • Favourite Document

    Triggers when a document is marked as favourite

  • New Document

    Triggers when a new documents has been created

  • Published Document

    Triggers when document is published to the web

    Actions
  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

  • Create Document

    Creates a new document from text.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Monkey Learn & Zoho Writer Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick Zoho Writer as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Monkey Learn to Zoho Writer.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Monkey Learn and Zoho Writer

  • Monkey Learn?
  • MonkeyLearn is a machine learning top that allows you to analyze text data in different languages. It uses machine-learning algorithms for this purpose.

    The most important features of MonkeyLearn are:

    It is free. It has the ability to analyze the documents written in different languages, not requiring any preprocessing. It can filter spam in your email inbox or comments on social networks. It can detect if a text contains all the necessary information or it is just a useless story. It can predict the sentiment in a text(if it is happy, sad, positive, negative, etc.. It can find specific keywords in a text. Also, you can create your own algorithm using MonkeyLearn. You can use Python libraries called libraries to implement your ideas.

    MonkeyLearn has the ability to analyze the documents written in different languages, not requiring any preprocessing.

  • Zoho Writer?
  • Zoho Writer is a web-based word processor that allows you to create documents online without installing any software. It offers you several templates that provide high quality formats for your documents. You can edit the templates and make them fit your style. This service allows you to cplaborate with others. It also offers you all the standard options that you expect from a word processor, such as spell checker, document comparison, revision history, version contrp, etc.

  • Integration of Monkey Learn and Zoho Writer
  • First, you are going to learn how to integrate Monkey Learn with Zoho Writer using their official libraries. MonkeyLearn provides two main APIs. One for Python and one for PHP. The integration process with each language is different, so let’s start with Python. We are going to fplow these steps:

    • Install the library package by typing the fplowing command in your terminal:

    pip install plz-learn

    • Fill out the configuration file named local_settings.py with the fplowing content:

    MONKEYLEARN_CONF = { 'api_key' . 'API_KEY' , 'project_id' . 'PROJECT_ID' , 'model_id' . 'MODEL_ID' , 'access_token' . 'ACCESS_TOKEN' } MONKEYLEARN_MODEL_NAME = 'MODEL_NAME' MONKEYLEARN_MODEL_PATH = '/tmp/model/MODEL_PATH' MONKEYLEARN_DATASET_PATH = 'https://api.monkeylearn.com/datasets/YOUR_DATASET_ID' # Example http://www.zoho.eu/documents/12345/1234534567890123456 MONGODB_CONNECTION = '/tmp/mongodb-connection.json' MONKEYLEARN_CACHE_DIR = '/tmp/cache/MODEL_NAME' 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 # Example setup for Python import os import json import pprint from plz . core . config import Config def loadSettings ( . . config = Config ( . config . loadSettings ( . conf = config . conf return conf def confLoadError ( . . print ( "{} does not exist" . format ( "local_settings.py" . . sys . exit ( - 1 . def handleError ( e . . print ( "{} Error " . format ( e . . sys . exit ( - 1 . app = plz . core . app MONKEYLEARN_CONF = localSettingsConf ( . MONKEYLEARN_MODEL_NAME = confLoadSettings ( . MONKEYLEARN_MODEL_PATH = confLoadSettings ( . MONKEYLEARN_DATASET_PATH = confLoadSettings ( . MONGODB_CONNECTION = confLoadSettings ( . MONKEYLEARN_CACHE_DIR = confLoadSettings ( . class LocalSettingsConf ( object . . def __init__ ( self , * args , ** kwargs . . self . apiKey = kwargs [ 'api_key' ] self . projectId = kwargs [ 'project_id' ] self . modelId = kwargs [ 'model_id' ] self . accessToken = kwargs [ 'access_token' ] self . datasetId = kwargs [ 'dataset_id' ] self . monkeyLearnModelName = kwargs [ 'monkeyLearnModelName' ] self . mongodbConnectionJsonPath = kwargs [ 'mongodbConnectionJsonPath' ] self . mongodbConnectionJsonPathRelativeToConfigFilePath = os . path . abspath ( os . path . dirname ( __file__ . + "/data/" + os . path . basename ( self . mongodbConnectionJsonPath . . self . cacheDirectoryName = kwargs [ 'cacheDirectoryName' ] def loadSettings ( self . . if os . path . exists ( self . mongodbConnectionJsonPathRelativeToConfigFilePath . . with open ( self . mongodbConnectionJsonPathRelativeToConfigFilePath , 'r' . as f . self . mongodbConnection = json . loads ( f . read ( . . else . return None def loadMongoDbCachenames ( self . . cacheNames = os . listdir ( self . dataDirPathRelativeToConfigFilePath + "/cache/" . for cacheName in cacheNames . cacheDirectoryName = cacheName if os . path . exists ( cacheDirectoryName + "/" + self . monkeyLearnModelName + "-" + self . projectId + "-" + self . modelId + "-" + str ( int ( time . time ( . . . + "_" + str ( hashlib . md5 ( str ( time . time ( . . . hexdigest ( . . . [ . 6 ] . . return cacheDirectoryName else . return None def loadDataSetPathsFromConfigFileAndCreateCheckedDataSetObjectsIfNotFoundObjectsFromJSONsFromConfigFileAndReturnNamesOfDataSetObjectsCreatedIfAnyWereCreatedOrReturnNoneIfNoneWereCreatedOrAnyErrorsWereEncounteredWhileCreatingAnyDataSetObjectsCreatedOrAnyExistingDataSetObjectsWereModifiedOrDeletedOrAnyLocationURLsWereModifiedOrDeletedOrWhatHaveYouOrWhatHaveYouOrSomeSuchStuffAsWasDescribedInThePreambleAboveThisFunctionAndAlsoMentionedHereAgainNowThatI’veReiteratedItImmaterialOfWhatshappeningWithThisFunctionAsWellAsVariousOtherFunctionsThatCreateAndRetrieveAndModifyAndDeleteAndModifyAndDeleteAndWhatHaveYouDataSetObjectsFromThisFunctionAndAlsoVariousOtherFunctionsThatsimplyUseDataSetObjectsThatArrivedHereAsInputButDoNotActuallyCreateThemOrDoAnythingElseWithThemExceptFieldAccessAndFieldAccessAndFieldAccessThatIsAllTheyDoHereAtLeastAsFarAsIKnowWhichIsNoLongerThanIKnowButIsSurelyFarEnoughSoLetMeGetBackToMyStoryAboutThisFunction ThatReturnsNamedDataSetObjectsAsOutPutIfAnyWereCreatedOrReturnsNoneIfNoneWereCreatedOrReturnsErrorMessageStringIfAnyExistOrAnyErrorsOccurredWhileCreatingAnyOrAnyBeingCreatedOrAnyBeingModifiedOrDeletedOrAnyBeingModifiedOrDeletedOrErrMsgStringIfAnyErrorsOccurredWhileDoingAnythingOrAnyWhereaboutsWhileDoingAnythingOrAnythingElseSoForgetAboutMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeMeJustGoOnAboutYourWayWithoutEvenLookingInMyDirectionsBecauseI’llBeFineJustFineJustFineJustFineJustFineJustFineJustFineJustFineJustFineJust

    The process to integrate 403 Forbidden and 403 Forbidden may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.