Lang.ai vs. MonkeyLearn

I've been using Lang.ai in my business for a few months now and it's been great. It's especially useful in scenarios where I need to quickly process large amounts of data, such as customer surveys or sales reports. It can handle text, numbers and images really well. For more complex tasks like natural language processing, Lang.ai is also a great choice.

Incentivized

I have used MonkeyLearn to analyze texts and extract information, that has been a tough task for me because I have to do it manually, but this software has made it easy for me, it is very easy to use and very intuitive, I can use it for extracting information from emails, chats, forums, websites, etc. I would definitely recommend using this platform to others.

Incentivized

• Great auto-tagging
• Improved tagging structure and system
• Efficient notes and organisation

Incentivized

• I like how MonkeyLearn can track customer feedback for us, it helps us get more data about customer needs, it makes it easier for us to analyze customer feedback and act on it in the future.
• Easily build and train a machine learning model to tag and classify your text.

Incentivized

• More customization options when creating my own chatbot
• Better integration with other platforms like Slack
• The natural language processing accuracy could be improved to provide more accurate results in certain contexts.

Incentivized

• Sometimes the segregation is generic based on the email content and needs more examples to learn.
• Financial category is not easily segregated/tagged.

Incentivized

I recently compared Lang.ai with Glassbox, GetFeedback, and Watson Studio by IBM. I found that Lang.ai is the most comprehensive AI-based platform for automated customer feedback analysis. It has features like natural language processing, sentiment analysis, and emotion detection which are not available on the other platforms. Furthermore, Lang.ai's user interface is intuitive and easy to use, making it my top choice for automated customer feedback analysis.

Incentivized

Text analysis tools. Thanks to its more than 60 native integrations in the platforms, they make it possible to import your data sets. Furthermore, they also make it easy to export your data sets to other programs. Built-in extensions make their flexible platforms. Some of these integrations include word processing, detection, and web mining.

Incentivized

• More time for customer service
• Addresses issues to prevent they occur again
• Identify priority of escalations

Incentivized

• Extract custom data within texts.
• Their labeling process is fast and efficient.
• The Studio version of the tool is an excellent option for a complete analysis solution.