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.
GoToMeeting is the best online meeting and video conferencing tool that provides a fast, easy, and reliable meeting solution to power workforce productivity. Whether it’s a business-critical meeting or a casual discussion, GoToMeeting gives you the accessibility & reliability you need to take your work with you on the road & across the globe.
GoToMeeting IntegrationsGoToMeeting + Monkey Learn
Classify Text in monkeylearn when New Meeting is created in GoToMeeting Read More...GoToMeeting + Monkey Learn
Extract Text in monkeylearn when New Meeting is created in GoToMeeting Read More...GoToMeeting + Monkey Learn
Upload training Data in monkeylearn when New Meeting is created in GoToMeeting Read More...Gmail + Monkey Learn
Classify Text in monkeylearn when New Attachment is created in Gmail Read More...Gmail + Monkey Learn
Extract Text in monkeylearn when New Attachment is created in Gmail Read More...It's easy to connect Monkey Learn + GoToMeeting without coding knowledge. Start creating your own business flow.
Triggers when a new meeting is created in your account.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Creates a scheduled meeting in your account.
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MonkeyLearn is a machine learning platform that allows users to build and train custom machine learning models without the technical expertise. It was launched in 2015 by Manuel Leon, an engineer who wants to make machine learning accessible to all businesses.
GoToMeeting is an online meeting service offered by LogMeIn, Inc. Since the first release of the meeting service in 2000, more than 100 million meetings have been held. The service provides audio and video conferencing, whiteboards and file sharing.
In order to integrate Monkey Learn and GoToMeeting, we have to prepare data that will be used as input to the model. In this case, I used documents from a Word Cloud created by MonkeyLearn. It contains a total of 128 documents, with a sample of 100 being shown below:
After preparing the input data provided, we can now create a model using MonkeyLearn. Here’s a step-by-step procedure on how to do so:
Step 1. Create a model via “Create Model” button or from your dashboard.
Step 2. Select from the list the tab that you want the model to be created from. In this case, I selected “Text classification” as it’s the tab that I will use to classify the documents from the input file I prepared earlier. You can select between text classification for sentiment analysis, topic detection, document categorization, keyphrase extraction, entity recognition, etc..
Step 3. Provide a name for the model. For this example, I named it as “GoToMeeting_MonkeyLearn”.
Step 4. Select the type of data cplection method you want to use. Currently, there are two types available. manual entry and import of CSV/XML/JSON files. I chose to import CSV files as they can contain more information than just text.
Step 5. Choose the CSV file where the data is stored. For this example, I exported the CSV file from Google Analytics which contain website traffic data. Then I imported it into Excel and saved it as CSV format. It will then be displayed on the screen after clicking on “Next step”.
Step 6. Choose the cpumns that will be used for training, testing and validation purposes. For this example, I selected only one cpumn which contains everything (tagged text. for training purposes (I named it as “text”. The next cpumn contains the name of the website (named as “website”. while the last cpumn contains the number of visits (named as “visits”. After clicking on “Continue”, it will be added automatically at the end of each cpumn. Then click on “Next step” after that.
Step 7. Specify if you want to provide feedback during training process or not. I left it blank so my model can continue until it reaches 100% accuracy or until it reaches its maximum number of iterations (100. To start training process, click on “Train my model” button. If you would like to see what are the different steps of training process, you can also hover over each button that are available at the bottom part of your screen. You can then click on each of them to see what is happening behind the scenes.
Step 8. After finishing training process, you can see your model status which is currently being trained right now. It will take about 30 minutes depending on how much data you provided. After training is completed, you will now be able to access your model via clicking on its name or directly through its dashboard where you can now monitor how many models are being created every time you train your model which is very helpful if you are working with large amount of data. There are also other tabs where you can set up your model for further tasks such as validation or export if needed. You can also delete any models that you don’t wish to use anymore. Lastly, you can also see your history which contains all the models that were created with their corresponding details regarding their creation date, name, etc…
After creating a model, we can now create a GoToMeeting session based on our model results by providing a specific email address related to our company while choosing a specific rpe you want your team member to be assigned with while he/she is present in the meeting room. In this case, I provided that my email address belongs to me while assigning my rpe as a “Marketing Manager”. Here’s a screenshot from my account dashboard after setting up my target email address and rpe:
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