Docusign is cloud-based eSignature software with the most accurate and secure way to sign and send documents for business, legal, and medical use. Docusign is also used as a powerful workflow tool for eContracts, and e-invoicing.
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.Monkey Learn Integrations
WordPress + DocuSignSend envelope from template in DocuSign when a post is published on WordPress Read More...
Gmail + DocuSignSend Envelope in DocuSign when New Attachment is created in Gmail Read More...
Gmail + DocuSignCreate Signature Request to DocuSign from New Attachment in Gmail Read More...
It's easy to connect DocuSign + Monkey Learn without coding knowledge. Start creating your own business flow.
Trigger when a status of the envelope changed.
Create Signature Request
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
DocuSign is a top that enables the electronic signing of documents. It allows users to sign documents, send them for signature and verify signatures by email. It’s a cloud-based service that works on any device and can be connected to multiple online services.
Monkey Learn is a platform for artificial intelligence (AI. with machine learning capabilities. It offers one of the most complete machine learning libraries in the market, supporting more than 40 different machine learning algorithms. The platform makes it very easy to train and deploy machine learning models without any coding. The models created using this platform can be used to make predictions, extract data, and even automate tasks. They can also be combined together to create new models.
DocuSign is a cloud-based e-signature top for documents. To use DocuSign, you need to have an account in the platform and install the top on your computer or mobile device. You can either use DocuSign’s own templates to generate the document or upload your own document from your computer or from the cloud storage account you have in the platform so that you can edit it with the tops provided by DocuSign. After you are done editing, you can upload the document again and send it for signature. Once you have sent it, the signer will receive a notification containing a link where he/she can sign it. If you are using an account with a subscription, you can search through your contacts to look for the one you want and send the document directly to him/her.
When we talk about creating a model using Monkey Learn, we usually refer to the creation of a classification model. Classification models are used to classify items into predefined categories like spam or non-spam emails, positive or negative reviews, etc., which means there are two possible outputs. true or false. For example, we could create a classifier to distinguish between tweets that contain information about a product launch from tweets that don’t contain such information. In this case, the two possible outputs would be “product launch” and “no product launch”.
There are many ways in which DocuSign and Monkey Learn can be integrated to bring value to both platforms. One way is by using machine learning algorithms in DocuSign to analyze documents before sending them for signature (for example, Amazon Rekognition. In this scenario, the model would detect suspicious content like attachments with viruses or links that lead to malicious websites. The analysis would be made using machine learning algorithms in Google Cloud Vision API, which would allow it to become more accurate over time because of its ability to learn based on feedback from its users. This way, users could enjoy a safe environment while saving time since they wouldn’t have to manually verify all uploaded documents before signing them.
Another way DocuSign and Monkey Learn can be integrated is by making use of sentiment analysis to monitor the current sentiment of customers based on their comments and suggestions, which could help improve customer satisfaction and increase sales with predictive marketing strategies. This would require an integration of Monkey Learn with an external sentiment analysis top like Google Cloud Natural Language API or IBM Watson Tone Analyzer. This way, companies would be able to detect negative or positive comments about their products and act accordingly by escalating negative comments to social media managers or contacting customers who are providing positive feedback directly so that they can offer them something special, like a discount code or free shipping. Overall, this would greatly improve customer satisfaction and reduce costs from dissatisfied customers who would otherwise end up leaving negative reviews on review sites like Yelp or Google Business Reviews.
In this paper, we analyzed how DocuSign and Monkey Learn could work together in order to generate value for both platforms. We believe that integration of these two platforms could provide great value as it would offer security against viruses through advanced analysis of documents using machine learning algorithms and save time through automatic document validation and improved predictive marketing strategies based on strong customer insights.
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