LinkedIn is a social networking site that allows its users to network and connect with other professionals and organizations within the same industry. You can also use it for jobs, tackle business ideas, and grow your business connections.
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
Twitter + LinkedInShare new updates from LinkedIn alongwith content from your tweets Read More...
It's easy to connect LinkedIn + Monkey Learn without coding knowledge. Start creating your own business flow.
A new update is created for your company page.
A status update sharing some content is posted.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
LinkedIn is a web-based business-oriented social networking service that operates via websites and mobile apps. Founded on December 28, 2002, and launched on May 5, 2003, it is mainly used for professional networking. As of 2015, most of the company’s revenue came from selling access to information about its members to recruiters and sales professionals. It earns revenue from three main sources. Talent Sputions, Marketing Sputions, and Premium Subscriptions. As of 2015, the company has over 400 million registered members in more than 200 countries and territories. It is headquartered in Mountain View, California.
MonkeyLearn is a machine learning platform that brings text analysis to your fingertips. Whether you want to extract sentiment, classify content or extract key phrases, MonkeyLearn can do it instantly. The platform provides text analysis algorithms which are ready to use and easy to combine into a workflow that satisfies your specific needs. On top of that, we offer an extensive library of pre-trained models for automatic text analysis.
MonkeyLearn can be integrated with LinkedIn. For example, LinkedIn enables users to add job titles to their profile and add multiple jobs to their profile. However, such structured data is not enough to fully describe a person’s skills and achievements. By integrating MonkeyLearn with LinkedIn, users can add custom tags/labels to their profile based on their skills and achievements. That way, they can enrich their profile and make it easier for recruiters to discover them and understand the value they bring to the table. This integration also allows hiring managers and recruiters to get a better idea of a candidate’s skills and achievements by using the candidate’s label vocabulary.
Providing structured knowledge (tags. about a person’s skills and achievements (e.g., programming languages. will allow recruiters and hiring managers to quickly get a complete picture of a candidate’s skills and achievements without having to go through every single one of their projects/experiences in detail. This in turn will reduce the time taken to identify a candidate’s skills and hence increase a company’s hiring efficiency. In addition, given that job titles are only a couple of words long but have very little information about a candidate’s skills and achievements, providing custom labels which are much longer in length will help employers get a better idea about a person’s skills and achievements without having to spend too much time reading the person’s job titles. And this in turn will speed up the recruitment process. Finally, by allowing candidates to add custom labels/tags to their profiles, they will be able to indicate their expertise in a certain skill area even though they might not have a job title that explicitly indicates that skill area.
The process to integrate LinkedIn and Monkey Learn 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.