Kimola Cognitive

Kimola Cognitive is a rock-solid machine learning platform that enables users to gather comments from over 20 channels and analyze + categorize customer feedback—or any text data—automatically. Here are Kimola Cognitive's top capabilities: - Stimulate the web and collect comments Data analysis begins with data collection, and we make it as easy as pie. Kimola offers marketing and research professionals a web browser extension to scrape content from the internet for analysis and classification. It supports over 20 platforms, including Amazon, Yelp, YouTube, Capterra, and Trustpilot. Add this extension to your browser and set it up in just one simple step. Text Analysis with Entity Recognition Kimola Cognitive provides text analysis to uncover insights mentioned in consumer reviews, such as organizations, celebrities, interests, arts, locations, nutrition, ethnicity, diseases, and more. Simply drag and drop consumer reviews into an Excel file, and let the magic happen in minutes! Pre-Built Models for Your Business Needs Kimola Cognitive comes equipped with a gallery of ready-to-use machine learning models for the most common use cases, such as sentiment and hate speech analysis, as well as consumer conversations about SaaS products, mobile apps, and games. Select one or more models to classify your data and reveal consumer insights in minutes. Create and Store Custom Machine Learning Models Every research project is a unique journey into understanding people, so requirements are often one-of-a-kind. That’s why Kimola Cognitive also supports the creation of custom machine learning models by training them on your own datasets. The platform selects the best-performing statistical model for your training setup to ensure the highest possible accuracy. Your custom machine learning models are hosted on Kimola Cognitive and accessible via both the user interface and API.

Kimola Cognitive is a machine learning platform that helps users scrape reviews from 20+ channels and automatically analyze and classify customer feedback or any text data to uncover market insights.