InMoment Text Analytics vs. Lang.ai

Its compatibility with Microsoft Excel makes it a great platform. It is a powerful tuning, workbench, and reporting application that resides within Microsoft Excel. This ability helps data analysts instantly gain actionable and valuable insights.

Incentivized

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

• assign sentiment score
• word cloud
• Categorization
• multilingual
• has good visualization

Incentivized

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

Incentivized

• Sentence parsing can be even better
• Sometimes cant predicts the sentiments
• Reporting can be even better with best histograms and diagrams
• Dash is somewhat difficult to understand

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

It offers extensive text analysis capabilities and you can easily create a visual representation.

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

• Diffbot content extraction
• The application integrates text analysis efficiently. I can identify changes and detect trends by evaluating posts, comments, tweets and other documentation on social media platforms and in the digital realm in general.

Incentivized

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

Incentivized