Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are TOP skills of Kimola Cognitive:
Scrape Web and Collect Reviews Data analysis starts with data collection, and we made it as easy as pie. 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. Add this extension to your browser and set it up with one easy step to get started.
Pre-Built models There is 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. Choose one or more models to classify your data.
Create & store custom machine learning models Every research is a different journey to understand humankind, so requirements will usually be unique. That's why Kimola Cognitive also supports creating custom Machine Learning models by training your own dataset. The platform takes care of choosing the best performing statistical model for your training set to ensure the best accuracy rate possible.Your custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.
I work in an e-commerce industry. I take Amazon reviews of the product and analyze them by e-commerce model. Also, using the GPT integration to write Amazon product descriptions makes my job a lot easier. This is very good for SEO.
like the models and the chrome extension for getting the data. It used to take me one tool to scrape the data then another to analyse the data but now with the models Im in heaven with it all in this one tool.
Based on our record, Amazon Comprehend seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 10 months ago
Once again, I asked ChatGPT to perform this analysis. I could have used some of the AI tools provided by AWS, like the detectSentiment API from Amazon Comprehend, but tools like ChatGPT make it so easy to just add a simple "also, tell me in one word what the sentiment is" clause to a query I'm asking. - Source: dev.to / 12 months ago
And now we can run amplify push to create the resources in AWS. The AWS service that will be used for this functionality is Amazon Comprehend. The pricing for this service can be found here. - Source: dev.to / about 1 year ago
Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: about 1 year ago
First, can you use a different AWS service, such as Comprehend or SageMaker? You only "pay for what you use" instead of paying for an idle server. This is especially helpful for a start up, since you don't pay a lot if you don't have a lot of customers.. Source: about 1 year ago
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