MeaningCloud

MeaningCloud Integrations

  • Use MeaningCloud to analyze new Typeform survey responses and log them in Google Sheets

    Do you review manually all the free-text responses in your surveys? Are you able to take advantage of the information in them? By analyzing the free-texts in your survey responses using MeaningCloud's Voice of the Customer models, you will be able to leverage all this unstructured information and extract customer insights.

    How this Typeform-MeaningCloiud-Google Sheets integration works

    1. A customer answers a Typeform survey that includes free-text questions
    2. MeaningCloud categorizes those texts according to one of the Voice of the Customer taxonomies available
    3. The results are saved in a Google Sheets spreadsheet for you to analyze

    Apps involved

    • Typeform
    • MeaningCloud
    • Google Sheets
  • +2

    Classify new RSS items with MeaningCloud and save relevant ones to Pocket

    Do you ever feel overwhelmed by all of your incoming RSS posts? Some RSS feeds could fill your reader app's inbox with irrelevant posts just in a few hours. With MeaningCloud, you can classify these posts and save the important ones to read them later in Pocket.

    Note: Use the filter step to select the relevant categories found by MeaningCloud you'd like to save to Pocket.

    How this MeaningCloud-Pocket integration works

    1. A new item is published in a RSS feed.
    2. Zapier uses MeaningCloud to categorize its text.
    3. The process only continues if a relevant category is found.
    4. Zapier adds this item to Pocket if it's relevant and tags it.

    Apps involved

    • MeaningCloud
    • Pocket
  • Analyze the sentiment of new tweets with MeaningCloud and log results in Google Sheets

    How is your twitter campaign going? Is it receiving positive feedback? Is your audience disappointed? This Zapier integration analyzes the sentiment of new tweets with MeaningCloud and stores the results in a handy Google Sheets document, where you can study them to boost or correct your social media activity.

    How this Twitter-MeaningCloud-Google Sheets integration works

    1. New tweets matching a query, like a hashtag or a user handle, are published.
    2. MeaningCloud analyzes the sentiment of the new tweets.
    3. Zapier stores the tweets and their global sentiment in a Google Sheets document.

    Apps involved

    • Twitter
    • MeaningCloud
    • Google Sheets
  • Use MeaningCloud to forward incoming Gmail messages to the appropriate email account

    Many companies provide a unique email address to receive all inquiries. All incoming emails must then be read and redirected to the appropriate team. This Zapier integration uses MeaningCloud to analyze the text of new emails and redirects them to the appropriate team, saving time and effort.

    Note: this integration makes use of a custom MeaningCloud classification model, where each category is named after the corresponding destination email.

    How this Gmail-MeaningCloud-Gmail integration works

    1. A new email arrives in the general Gmail account.
    2. Zapier analyzes its contents with MeaningCloud to obtain a destination email.
    3. Zapier forwards the email to the destination email.

    Apps involved

    • Gmail
    • MeaningCloud
  • Identify people, companies, and more in new RSS posts using MeaningCloud and save them to Pocket

    Seeking info about companies for competitive intelligence projects? Tracking celebrities mentions for online reputation? MeaningCloud's Topics Extraction can extract named entities from RSS items for you to get an organized list of to-read articles. Save these new posts to Pocket tagging/labeling them according to the entities detected, so you could easily search and prioritize the articles to review.

    How this MeaningCloud-Pocket integration works

    1. A new item is published in a RSS feed (it could be a news channel, a Google Alerts feed...).
    2. MeaningCloud extracts named entities (people, companies, places...) from text.
    3. The item is saved to Pocket and tagged according to MeaningCloud's analysis.

    Apps involved

    • MeaningCloud
    • Pocket
  • Create labelled Trello cards for the issues created in your GitHub repositories with MeaningCloud

    Big software projects could be problematic to manage. Prioritizing to-dos according to users and developers' feedback is a time-consuming task. With this Zapier integration, you can classify new issues in your GitHub repositories using MeaningCloud Text Classification and create new Trello cards with custom labels for better organizing your projects.

    Note: this integration makes use of a custom MeaningCloud classification model, where each category is named after the corresponding Trello label.

    How it works

    1. A new issue is created in your GitHub repository.
    2. MeaningCloud classifies its text and assigns it a category.
    3. Zapier creates a new Trello card labelled accordingly.

    Apps involved

    • GitHub
    • MeaningCloud
    • Trello
  • Use MeaningCloud to detect the features mentioned in the issues of your GitLab repositories and post them to Slack

    You don't need a complete team of developers to review all the issues created in your software repositories. Leveraging MeaningCloud power to analyse the text of incoming GitLab issues, you can notify your team with custom Slack messages pointing them to specific features, allowing more agile project management.

    Note: this integration makes use of a custom MeaningCloud dictionary, where each entity is named after the corresponding feature.

    How it works

    1. A new issue is created in your GitLab repository.
    2. MeaningCloud detects mentioned features in its text.
    3. Zapier sends a new message to Slack notifying the new issue.

    Apps involved

    • GitLab
    • MeaningCloud
    • Slack
  • Identify the language people use when discussing a Twitter hashtag with MeaningCloud and log results in Google Sheets

    Is your Twitter campaign targeted to English speakers? Are they actually reacting to it? Is it performing surprisingly well in a non-targeted market like China or Latin America? This Zapier integration uses MeaningCloud to analyze the language of new tweets reacting to your campaign and stores the results in a handy Google Sheets document so that you can analyze them and correct or boost your social media presence.

    How this Twitter-MeaningCloud-Google Sheets integration works

    1. New tweets matching a query, like a hashtag or a mention, are published.
    2. MeaningCloud analyzes the language of the new tweets.
    3. Zapier stores the tweets and their language in a Google Sheets document.

    Apps involved

    • Twitter
    • MeaningCloud
    • Google Sheets
  • Analyze the Voice of the Employee in the emails received related to your employees' performance reviews.

    HR departments can sometimes receive an overwhelming number of performance review emails in very short periods. With this Zapier integration activated, you can analyze new Gmail emails that match a search (e.g. "performance reviews) with MeaningCloud Deep Categorization technology and add them to a Google Sheets spreadsheet automatically for easy analysis.

    Note: This Zapier integration uses a premium vertical pack to categorize texts. You can start a free 30-day trial on the MeaningCloud website.

    How it works

    1. A new performance review is received in the target Gmail account
    2. MeaningCloud categorizes its text according to a task-specific model.
    3. Zapier saves the results in a Google Sheets spreadsheet.

    Apps involved

    • Gmail
    • MeaningCloud
    • Google Sheets
  • Analyze sentiment of new Google Forms responses with MeaningCloud and log the results in Google Sheets

    Make the most of the responses obtained from your customers in Google Forms. Once activated, whenever your customer submits a new response via Google Forms, MeaningCloud will extract the sentiment expressed in the free-text answers and adds it to Google Sheets, allowing you to leverage the unstructured information easily.

    How this Google Forms-MeaningCloud-Google Sheets integration works

    1. A new response is submitted to your Google Form
    2. MeaningCloud analyzes the sentiment of the free-text answers
    3. Zapier finds the Google Sheets row in where the response is stored
    4. Zapier adds the sentiment analysis to the Google Sheets row with the response

    Apps involved

    • Google Forms
    • MeaningCloud
    • Google Sheets
  • Add customized labels to the cards of your Trello boards by classifying them with MeaningCloud

    Deciding which labels apply to the cards created in Trello can often be cumbersome and incoherent. By assigning these labels automatically using MeaningCloud's Text Classification, you can ensure you will always use the same criteria and that no card is left without a label. MeaningCloud's custom models allow you to define your exact criteria so that the classification is done exactly as you need.

    Note: This integration makes use of a custom MeaningCloud model, where each category is named after a label already created in the Trello board.

    How this Trello-MeaningCloud integration works

    1. A new card is created in Trello.
    2. MeaningCloud analyzes the title and description of the card using your custom classification model.
    3. Trello finds the label that corresponds to the category obtained in the classification.
    4. The card in Trello is updated using that label.

    Apps involved

    • MeaningCloud
    • Trello

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MeaningCloud Integration Details

Launched on Zapier June 19, 2018

Zapier combines Triggers (like "New Subscriber") and Actions (like "Analyze Sentiment") to complete an action in one app when a trigger occurs in another app. These combos—called "Zaps"—complete your tasks automatically.

The following MeaningCloud Triggers, Searches, and Actions are supported by Zapier:

Analyze Sentiment

Analyzes texts and detects their polarity, subjectivity and irony.

Extract Topics

Extracts relevant information such as named entities, concepts, money expressions and quantities from a text.

Classify Text

Analyzes texts according to standard taxonomies (such as IPTC or IAB) or user defined criteria.

Identify Language

Automatically identifies the language of texts obtained from any kind of source.

Categorize Text

Obtains an in-depth rule-based categorization using a combination of morphological, semantic and text rules.

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MeaningCloud provides text analytics functionalities that allow you to extract the meaning of all kind of unstructured content.