AWS Machine Learning Blog
Tag: HAQM Comprehend
VidMob combines computer vision and language AI services for data-driven creative asset production
VidMob is a social video creation platform that marketers of all sizes can use to develop personalized advertising communications at scale. VidMob uses machine learning (ML) to power its SaaS application. This application uses metadata extraction and sentiment analysis to provide marketers with actionable insights into which creative assets resonate with their intended audience, and […]
Build smart chat apps with HAQM machine learning APIs and the PubNub ChatEngine
The demand for chat apps is growing wildly. From social apps to business collaboration, in-game chat to customer support, every app needs chat. Chat apps like Telegram are making mainstream news and generating widespread interest.
Historically, building a scalable, feature-rich chat app was surprisingly difficult. Not anymore. PubNub ChatEngine has integrated HAQM machine learning APIs, which makes building intelligent, scalable chat apps super easy for mobile and web.
In this blog post, you’ll learn how to spin up the PubNub ChatEngine and add HAQM Translate and HAQM Polly for cross-lingual, speech-enabled chat apps that you can embed anywhere.
ClearView Social uses HAQM Comprehend to measure the impact of social sharing
ClearView Social enables a company’s employees to share approved content on LinkedIn, Twitter, and other social networks with a single click. It then broadcasts the content to those social networks at peak times, and tracks the resulting engagement with a leaderboard and an analytics dashboard. According to Bill Boulden, CTO of ClearView Social, a key […]
Detect sentiment from customer reviews using HAQM Comprehend
In today’s world, public content has never been more relevant. Data from customer reviews is being used as a tool to gain insight into consumption-related decisions as the understanding of its associated sentiment grants businesses invaluable market awareness and the ability to proactively address issues early. Sentiment analysis uses a process to computationally determine whether […]
Build a social media dashboard using machine learning and BI services
In this blog post we’ll show you how you can use HAQM Translate, HAQM Comprehend, HAQM Kinesis, HAQM Athena, and HAQM QuickSight to build a natural-language-processing (NLP)-powered social media dashboard for tweets. Social media interactions between organizations and customers deepen brand awareness. These conversations are a low-cost way to acquire leads, improve website traffic, develop […]