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.
Twilio is the communciton platform that millions of developers trust to build seamless communications experiences with phone calls, text messages, video calls, and more.Twilio Integrations
Twilio + Monkey LearnClassify Text in monkeylearn when New Recording is created in Twilio Read More...
Twilio + Monkey LearnExtract Text in monkeylearn when New Recording is created in Twilio Read More...
Twilio + Monkey LearnUpload training Data in monkeylearn when New Recording is created in Twilio Read More...
Twilio + Monkey LearnClassify Text in monkeylearn when New Call is created in Twilio Read More...
Twilio + Monkey LearnExtract Text in monkeylearn when New Call is created in Twilio Read More...
It's easy to connect Monkey Learn + Twilio without coding knowledge. Start creating your own business flow.
Triggers once a call is completed on your Twilio number.
Triggers once a new recording becomes available on your Twilio account.
Triggers the moment an SMS is sent to your Twilio Number.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Call a number or numbers and say your predefined message.
Send a SMS to a number or numbers.
It is a powerful Machine Learning platform enabling developers to build smarter apps. It provides an easy and modern way to process text using state-of-the-art Natural Language Processing (NLP. algorithms. For example, it can be used to detect sentiment of texts, identify language and category of texts or even categorize images and videos.
It provides a simple programmable interface for communication between software applications and mobile devices. Twilio allows you to add voice, VoIP, and messaging functionality easily to your application.
MonkeyLearn is a Python library that exposes a web service which takes in a text document as input and returns the tags, annotations and labels extracted by the Natural Language Processing (NLP. algorithms. These algorithms are trained with data that has been previously annotated by humans. This makes it easier for the developers to leverage this data to build their own applications. An example of such an application is one that detects customer sentiment from online reviews.
Integrating MonkeyLearn with Twilio enables us to create a web service that can send pre-trained NLP models to our users so that they can perform different tasks such as sentiment analysis on their own. It also allows us to provide a simple tagging interface for users who are not experts in NLP but want to use this technpogy in their applications. Let’s take a look at some examples for both cases.
Using MonkeyLearn, we trained a model that detects the sentiment of a given text document. We can then deploy this model as an API that takes in a text document as input and returns the category of the document (positive or negative. with a probability score as output. This makes it possible for our users to integrate the sentiment analysis into their applications in order to improve their feedback systems by performing real-time sentiment analysis on customer reviews or any other type of text documents they want to analyze sentiment of. This enables them to understand the sentiment behind user feedback in order to take action based on that information.
In this case, we can create a tagging interface where users can upload files (images or videos. and tag them with keywords relevant to what is shown in the file. Then, these tags can be used for many different purposes such as organizing photos by topic or making photo search easier by finding photos with specific tags or even create new apps around these tags by combining them with other information about the photos (e.g., time, location.
The integration of MonkeyLearn and Twilio enables us to create flexible applications which can be easily adapted to specific needs of our users while taking advantage of pre-trained NLP models and other machine learning algorithms used by MonkeyLearn. The only requirement here is that developers need to have basic knowledge of how to use APIs provided by both platforms. This opens up a vast array of possibilities for developing new products and services leveraging the power of machine learning algorithms with ease.
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