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.
Freshdesk is a cloud based customer support software for companies with multiple support agents and complex customer service requirements. It combines the power of social networks, crowd support, email and phone with information channels like forums and internal notes.
Freshdesk IntegrationsFreshdesk + Monkey Learn
Classify Text in monkeylearn when New Contact is created in Freshdesk Read More...Freshdesk + Monkey Learn
Extract Text in monkeylearn when New Contact is created in Freshdesk Read More...Freshdesk + Monkey Learn
Upload training Data in monkeylearn when New Contact is created in Freshdesk Read More...Freshdesk + Monkey Learn
Classify Text in monkeylearn when New Ticket is created in Freshdesk Read More...Freshdesk + Monkey Learn
Extract Text in monkeylearn when New Ticket is created in Freshdesk Read More...It's easy to connect Monkey Learn + Freshdesk without coding knowledge. Start creating your own business flow.
Triggers when a new customer is created.
Triggers when there is a new ticket is created in Freshdesk.
Triggers when a Ticket is updated.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Allows you to create a User/Customer in Freshdesk for your support domain.
Create a ticket in Freshdesk for your domain.
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Monkey Learn is a machine learning platform, which allows you to analyze the data without writing single line of code. The platform provides different models for different purposes, so you can choose the model that suits your business. Here are some of the popular models on the platform:
Text Analytics
Clustering
Deduplication
Face detection
Natural Language Processing (NLP)
Optical Character Recognition (OCR)
Sentiment analysis
Cloud Vision API (for image classification)
The platform also provides datasets for machine learning. The user can upload their own dataset by uploading the CSV file or shared Google sheet. Some datasets are listed below:
Wikipedia Article Counts Dataset (2.8 million rows)
Twitter Sentiment Analysis Dataset (1.4 million rows)
Reddit Comment Analysis Dataset (3 million rows)
Freshdesk Support Response Dataset (70,000 rows)
Apple Stock Price Prediction Dataset (10 years of historical data)
To test various machine learning models, you can use the MonkeyLearn API via bot, web application, email, text message or chatbot. You can integrate it with your current workflow or development cycle. The API is easy to use with libraries for most programming languages. If you are comfortable with Python, you can write your own machine learning algorithm and share with other users on the platform. It also supports many ready-to-use models so that you don’t need to create them from the scratch. You can build your own model using existing models as building blocks through feature extraction process. You can also create custom features based on your dataset by combining existing features. The machine learning models are trained using supervised learning, where model is trained using labelled documents in the training dataset. This means that the user must have sufficient data for training the model. The user can train the model using all of their data or they can also use only a subsample of their data by pruning the data. It is important to select the right number of rows for pruning, otherwise, it will negatively affect the accuracy of the model. The platform offers such as embeddings and sentiment analysis models as well as pre-trained deep neural networks. The user can also easily create custom NLP models by manually coding rules for each label or label pair. It also provides a simple API for creating models and data labeling. Monkey Learn offers a free plan, which allows users to use 1GB of storage and to train up to 50 models per month. The professional plan costs $49 per month and allows unlimited storage and unlimited training of models. Many companies and developers use this platform for their business and personal projects because it helps them to find out hidden information from their data and make better decisions around it such as how to improve customer service. For example, customers often write negative reviews about companies for various reasons such as slow response time or bad customer support. Companies usually ignore these complaints but there is valuable information in those complaints that companies could use to improve customer experience and increase customer satisfaction and retention rate. With Monkey Learn, companies can analyse and predict customer feedback and respond to negative comments before customers decide to leave them and go to another company. For example, if a company finds that many customers complain about slow response time, then they can hire more agents or assign two agents to each customer instead of one agent as they currently do. In conclusion, Monkey Learn is a great platform for people who want to transform their data into actionable insights without writing a single line of code. It has many useful features such as text analysis, document classification, sentiment analysis, optical character recognition and more. It also provides a lot of datasets along with a very helpful API for making quick integrations with your current workflow or development cycle. B. Freshdesk? Freshdesk is a customer support software which allows companies to manage customer support requests in a single place. It also helps them to reduce support cost and improve customer satisfaction by streamlining communication between employees and customers. The software offers both cloud-based and on-premise sputions for enterprise customers. It offers a full stack of features for managing customer communication from ticketing system to live chat top to knowledge base management tops to social media management tops etc. Freshdesk was founded in 2010 by Girish Mathrubootham and Ashish Gadnis in Chennai, India and today it has offices in 20 cities worldwide including Singapore, San Francisco, Chicago, New York City, Amsterdam, Sydney, Paris, Berlin, London etc. The company has more than 65 thousand customers worldwide including large brands such as GEICO, Macy’s Inc., Samsung Electronics America etc. It also works with many small businesses that need simple help desk software for managing customer support enquiries. The software offers three plans. Starter Plan (free), Professional Plan ($7 per agent per month. and Enterprise Plan (ask for pricing. It also offers three add-ons. Knowledge Base ($2 per agent per month), Live Chat ($5 per agent per month), Social Media Management ($7 per agent per month. To find out more about different plans and add-ons offered by Freshdesk, please visit https://www.freshdesk.com/pricing/. To learn more about Freshdesk’s features and pricing plans, please visit https://freshdesk.com/. By integrating Freshdesk with Monkey Learn the companies can get valuable insights about their live chat conversations with their customers. For example, if there are many negative comments coming through live chat then they can respond quickly to these comments before customers go away from the website or give bad ratings on Google or Facebook or give negative feedback on Yelp or other review sites. They can also find out if their customer support team is responding quickly enough to live chat conversations so that they can improve customer experience and reduce churn rate after 30 days of trial period ends. A. Integration of Monkey Learn and Freshdesk To integrate Monkey Learn with Freshdesk you only need API key from Freshdesk along with API access token for getting API key from API access token interface provided by Freshdesk API documentation at https://support.freshworks.com/api/v2/apitoken/get_token/ . Then you can pass API key in API parameter when creating new model in Monkey Learn API by fplowing instructions in API v2 documentation at https://www.monkeylearn.com/wiki/display/MLSDK/API+v2#API-v2 . Once integration is complete you can start feeding your live chat conversations into Monkey Learn API by creating new model in API v2 documentation with API key mentioned above in API parameter with text data type in model name field in API v2 documentation . For example, if you have created a model called “Chat” whose API key is ‘1234567890abcdef’ then you have to feed live chat conversations into this model by fplowing instructions in API v2 documentation at https://www.monkeylearn.com/wiki/display/MLSDK/API+v2#API-v2 . As soon as you complete this step Monkey Learn will start analysing your live chat conversations and will generate reports for particular labels or labels pairs based on rules set by the user while creating the model in Monkey Learn API v2 documentation . B. Benefits of Integration of Monkey Learn and Freshdesk Integration of these two platforms will allow companies like Freshdesk to automatically analyse the feedback given by customers through live chat conversations and respond back quickly to such comments before customers decide to leave them due to bad customer service! They will be able to find out what customers like about their products or services and what they don’t like about it so that they can improve their products or services accordingly to satisfy their customers! Moreover, they will be able to understand why customers are not purchasing products or services from them so that they can change their marketing strategy accordingly to attract more customers! C. Conclusion In conclusion, we recommend integrating Monkey Learn with Freshdesk so that companies get valuable insights into their live chat conversations with their customers and can improve their marketing strategy accordingly! That’s all fpks! Thanks for reading! Hope this blog post helped you out! Cheers 🙂
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