#Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis mod

[vlruso]

Use no-code machine learning to derive insights from product reviews using Amazon SageMaker Canvas sentiment analysis and text analysis models

Exciting news! 🎉 Want to use machine learning to gain insights from product reviews without any coding or ML expertise? Check out this step-by-step guide on how to leverage Amazon SageMaker Canvas sentiment analysis and text analysis models. 🤩 According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. With machine learning, you can analyze large volumes of customer reviews and uncover valuable insights to improve your products and services. 💡 Amazon SageMaker Canvas offers ready-to-use AI models for sentiment analysis and text analysis of product reviews, eliminating the need for ML specialists. In this blog post, we provide sample datasets and walk you through the process of leveraging these models. 📈 Elevate your company with AI and stay competitive. Don't miss out on this opportunity to derive insights from product reviews. Check out the blog post here: [Link](https://ift.tt/tRcfO83) Stay updated on AI and ML trends by following Itinai on Twitter @itinaicom. And for a free consultation, join our AI Lab in Telegram @aiscrumbot. 🚀 #AI #MachineLearning #AmazonSageMakerCanvas #ProductReviews #Insights List of Useful Links: AI Scrum Bot - ask about AI scrum and agile Our Telegram @itinai Twitter -  @itinaicom

[ai-news]

According to Gartner, 85% of software buyers trust online reviews as much as personal recommendations. Customers provide feedback and reviews about products they have purchased through many channels, including review websites, vendor websites, sales #AI #ML #Automation