Kimola Cognitive

Kimola Cognitive is a Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Top features of Kimola Cognitive are:

Scrape Web and Collect Reviews
Data analysis starts with data collection, and Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp, Youtube, Capterra, and TrustPilot.

Text Analysis with Entity Recognition
Through a drag & drop of consumer reviews into an excel file, Kimola Cognitive offers text analytics to reveal insights that are mentioned in consumer reviews such as organizations, celebrities, interests, work of arts, locations, nutritions, race & ethnicity, diseases.

Pre-Built models
Kimola Cognitive comes with a gallery of ready-to-use Machine Learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games. One or more models can be selected to classify data and reveal consumer insights.

Custom machine learning models
Kimola Cognitive also supports creating custom Machine Learning models by training a dataset. The platform takes care of choosing the best performing statistical model for the training set to ensure the best accuracy rate. These custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.

Creating marketing materials based on customer reviews
GPT is used in many sectors for different purposes, and also in customer research. Kimola Cognitive is a customer feedback analysis tool that integrates GPT to create SWOT analysis, FAQ's, product descriptions based on customer reviews.