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Expert.ai Recognized by Leading Research Firm as a Strong Performer in Text Analytics Platforms Evaluations

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The leading company in artificial intelligence (AI) for language understanding expert.ai In their 26-criterion evaluation of document-oriented text analytics platforms, Forrester identified the 12 most significant platforms in the market; their 29-criterion evaluation of people-focused text analytics identified the 13 most significant platforms. "When enterprises want to put NLP solutions into production--not just as experiments, but real solutions--they need to go beyond traditional tools, single techniques and over-hyped language models," said Luca Scagliarini, expert.ai "We believe this recognition by Forrester shows that the market is beginning to align with our vision, which is based on providing the most effective mix of natural language tools and techniques to address all of your strategic business use cases within a single, purpose-built NLP platform." According to both Forrester reports, "Expert.ai is a great choice for customers looking to build customized text analytics applications using hybrid AI (the combination of knowledge/symbolic and machine learning techniques), or customers looking to leverage knowledge-based AI for out of the box accuracy, model explainability (a key in highly regulated industries), or who are not ready to invest in the full ModelOps cycle."


BetterMe's 'Childhood Trauma Test' is all over TikTok. Here's why you shouldn't take it.

Mashable

TikTokkers have been sharing their results from BetterMe's "Childhood Trauma Test," but the site's privacy policy reveals that the test is a data collection tool. A typical TikTok about the test starts with something like, "Test shouldn't be that bad. My childhood was good," before the creator reveals their test results that show severe levels of trauma. The tags "trauma test" and "childhood trauma test" have 12.7 and 2.1 million views respectively. BetterMe is a Ukrainian subscription-based behavioral healthcare platform with two products: BetterMe Health Coaching and BetterMe Mental Health.


Musk Has Twitter's Data, but Getting Answers on Spam Accounts May Be Tougher

WSJ.com: WSJD - Technology

Elon Musk has gained access to the Twitter data that he said was needed to complete his $44 billion acquisition, but data scientists and specialists doubt the stream will provide the conclusive answers he seeks about the number of phony accounts on the platform. After some legal back-and-forth between the two sides, Twitter in recent weeks provided Mr. Musk with historical tweet data and access to its so-called fire hose of tweets, people familiar with the matter said. That fire hose shows the full flood of all tweets--people post hundreds of millions of times a day on the platform, according to the company--in near real time.


Sentiment Analysis on Solar Energy with NLP and Python

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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. "When captured electronically, customer sentiment -- expressions beyond facts, that convey mood, opinion, and emotion -- carries immense… It's free, we don't spam, and we never share your email address.


When to use negation handling in sentiment analysis? – Analytics India Magazine

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… expressed in a text by a person could be understood by machine learning algorithms. … Let’s deep dive into these three negation types.


Ritwik Joshi 🤖 on LinkedIn: #data #metadata #information

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The man in this video is over 100 years old! John Hamilton is my inspiration. It is never too late to take care of your health. He exercises at the gym five days a week. This had me thinking: What keeps his body moving without pain?


a-guide-to-sentiment-analysis-part-2

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If the question'What is sentiment analysis?' popped up in your mind as you clicked on this blog, I think you will find my first blog in this series interesting. Essentially, sentiment analysis is a natural language processing technique used to determine the emotional tone of textual data. It is primarily used to understand customer satisfaction, and gauge brand reputation, call center interactions as well as customer feedback and messages. There are various types of sentiment analysis that are common in the real world. In this part of my blog series, let me walk you through the implementation of sentiment analysis.


Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications: Albrecht, Jens, Ramachandran, Sidharth, Winkler, Christian: 9781492074083: Amazon.com: Books

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This book is intended to support data scientists and developers so they can quickly enter the area of text analytics and natural language processing. Thus, we put the focus on developing practical solutions that can serve as blueprints in your daily business. A blueprint, in our definition, is a best-practice solution for a common problem. It is a template that you can easily copy and adapt for reuse. For these blueprints we use production-ready Python frameworks for data analysis, natural language processing, and machine learning.


Sentiment Analysis Exposed

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We are now privy to a spectacular array of communication tools with the potential to connect us all for greater understanding and tolerance. But SA software is counterproductive for open dialog at best, and fundamentally corrosive at worst. It is sure to infuse discord and distrust, much the way the internet is now viewed--isolating us, dividing us into segmented groups--when, at the net's inception, it was supposed to unite the planet. Even more destructive, SA software for SaaS products, like spying on our kids, or when used for marketing to influence elections by insighting ignorant, angry people to elect the second-coming of Hitler, has, and will continue to put even greater distance between us.


Emotion AI's risks and rewards: 4 tips to use it responsibly

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Over the past two weeks, emotions have run high around the evolution and use of emotion artificial intelligence (AI), which includes technologies such as voice-based emotion analysis and computer vision-based facial expression detection. Video conferencing platform Zoom came under fire after saying it might soon include emotion AI features in its sales-targeted products. A nonprofit advocacy group, Fight for the Future, published an open letter to the company: It said Zoom's possible offering would be a "major breach of user trust," is "inherently biased," and "a marketing gimmick." Meanwhile, Intel and Classroom Technologies are working on tools that use AI to detect the mood of children in virtual classrooms.