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Information Extraction

Data the dog: Twitter turns its privacy policy into an old-school video game

The Guardian

On Friday, Elon Musk announced he was pausing his $45bn purchase of Twitter because he had only just discovered some of the accounts on the site were fake. But that's not the strangest thing that has happened to the beleaguered social media platform this week. Because on Tuesday the current top brass, perhaps trying to demonstrate their vision for the site, released a Super Nintendo-style browser game that recaps Twitter's private policy. The platform unveiled Twitter Data Dash, which plays like a vintage side-scrolling platformer that's been draped with a healthy dose of disinformation anxiety. You take control of a blue-hued puppy named Data and are tasked with retrieving five bones hidden in each of the game's day-glo urban environments.

Call Center Sentiment Analysis -- Hack to Empathetic Customer Service


Call Center sentiment analysis is the processing of data by identifying the natural nuance of customer context and analyzing data to make customer service more empathetic. If you are employed in Call Center, the following scenario might be familiar: You get a call from a client and hear their words with stress. The cause for such a cataclysmic reaction: They got a bad rating for their products or business. Some of those reviews might be negative, formal, and neutral. Knowing what someone meant can be tricky unless you understand their emotional quotient.

Human rights organizations ask Zoom to scrap its emotion tracking AI in open letter


Digital rights non-profit Fight for the Future and 27 human rights organizations have written an open letter to Zoom, asking the company not to continue exploring the use of AI that can analyze emotions in its video conferencing platform. The groups wrote the letter in response to a Protocol report that said Zoom is actively researching how to incorporate emotion AI into its product in the future. It's part of a larger piece examining how companies have started using artificial intelligence to detect the emotional state of a potential client during sales calls. The pandemic made video conferences a lot more common around the world. Sales people have been finding it hard to gauge how receptive potential clients are to their products and services, though, without the capability to read their body language through the screen.

A Dynamic Web App Using Pre-trained Transformer Models for Sentiment Analysis and Text…


Transformers are one of the most exciting concepts in Natural Language Processing. This article is a guide on working with pre-trained models that use transformers. A transformer model is a neural…

The Glorious Utility of the Mid-Range Phone


If you can do without all the beefed-up chips, six-pack cameras, and lidars of the $1,000 handsets, mid-range options get the job done for not a lot of cash. Sometimes you even get more from the cheaper phones, like an actual headphone jack. This week, Motorola and OnePlus announced some new phones that fall into that group. Lenovo-owned Moto has two new options. The Moto G 5G is the most basic.

Companies are using AI to monitor your mood during sales calls. Zoom might be next.


Virtual sales meetings have made it tougher than ever for salespeople to read the room. So, some well funded tech providers are stepping in with a bold sales pitch of their own: that AI can not only help sellers communicate better, but detect the "emotional state" of a deal -- and the people they're selling to. In fact, while AI researchers have attempted to instill human emotion into otherwise cold and calculating robotic machines for decades, sales and customer service software companies including Uniphore and Sybill are building products that use AI in an attempt to help humans understand and respond to human emotion. Virtual meeting powerhouse Zoom also plans to provide similar features in the future. "It's very hard to build rapport in a relationship in that type of environment," said Tim Harris, director of Product Marketing at Uniphore, regarding virtual meetings.

Understand your Customer Better with Sentiment Analysis


Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. "Your most unhappy customers are your greatest source of learning."

Automatic information extraction system for scientific articles on COVID-19


Researchers from the UPV/EHU-University of the Basque Country, the UNED (National Distance Education University) and Elhuyar have created the VIGICOVID system, thanks to Supera COVID-19 (Overcoming COVID-19) funding by the CRUE (Association of Spanish Universities). This system addresses the need to search for answers in the avalanche of information generated by all the research conducted across the world relating to the pandemic. By means of artificial intelligence, the system displays the answers found in a set of scientific articles in an orderly fashion, and uses natural language questions and answers. The global bio-health research community is making a tremendous effort to generate knowledge relating to COVID-19 and SARS-CoV-2. In practice, this effort means a huge, very rapid production of scientific publications, which makes it difficult to consult and analyze all the information. That is why experts and decision-making bodies need to be provided with information systems to enable them to acquire the knowledge they need.

Big Data in Customer Sentiment Analysis


Big data enables businesses to thrive and grow by finding hidden patterns in data. Brands are now getting smarter by taking actions based on customer sentiments. Not only brands but also political parties and governments are looking at social sentiments as a valuable resource for growth. With big data, real-time customer sentiment analysis has become possible. Social media has completely changed how people express themselves.

La veille de la cybersécurité


Communication software platform maker Arena – a provider of a Slack-like chat or bot conversation column to the right side of your screen when you're on an ecommerce site – is endeavoring to bring more human understanding to online marketing and sales. That, in turn, works to establish better rapport with potential customers for ecommerce businesses. The San Francisco-based startup's group chat and messaging application framework for B2C enterprises, having earned the attention of investors, yesterday announced a $13.6 million Series A round led by CRV with Craft Ventures, Artisanal Ventures and Vela Partners also participating. A key marketing trend in 2022 is for consumer companies to find ways to move beyond social media and third-party cookies as a way of gaining better direct insights into their users and customers. Five-year-old Arena recognized this early and built a SaaS platform to replace the need for third-party referrals and social networks, CEO and founder Paolo Martins told VentureBeat.