Significant advances have been made during the past few years in the ability of artificial intelligence (AI) systems to recognize and analyze human emotion and sentiment, owing in large part to accelerated access to data (primarily social media feeds and digital video), cheaper compute power, and evolving deep learning capabilities combined with natural language processing (NLP) and computer vision. According to a new report from Tractica, these trends are beginning to drive growth in the market for sentiment and emotion analysis software. Tractica forecasts that worldwide revenue from sentiment and emotion analysis software will increase from $123 million in 2017 to $3.8 billion by 2025. The market intelligence firm anticipates that this growth will be driven by several key industries including retail, advertising, business services, healthcare, and gaming. According to Tractica's analysis, the top use case categories for sentiment and emotion analysis will be as follows: "A better understanding of human emotion will help AI technology create more empathetic customer and healthcare experiences, drive our cars, enhance teaching methods, and figure out ways to build better products that meet our needs," says principal analyst Mark Beccue.

I found my way to the Download Your Information tool in late March, soon after a whistle-blower revealed that the political-consulting firm Cambridge Analytica had gathered information about tens of millions of Facebook users. The tool, which Mark Zuckerberg referenced several times in his testimony to Congress in April, is tucked away in Facebook's account settings. It allows users to access extensive archives of their own content, delivered by Zip file, giving a nod to demands for greater corporate transparency and helping the company satisfy new data-protection requirements in the European Union. It also offers an opportunity to view oneself through the eyes of Facebook's partners, researchers, advertisers, and algorithms, in an act of reverse surveillance. My own download held the usual digital flotsam--not all the information I had ever volunteered to the platform, but a lot of it: date of birth, phone number, schools. There were IP addresses from every time I'd signed on since 2009 (though I've had an account since 2005).

On this week's episode of Making Data Simple, Susara van den Heever, Data Science Program Director, IBM Analytics, sits down with us to give insights on practices that improve business efficiency and effectiveness.

Colombo Big Data Meetup August 2nd 2018 Let's analyze the world's reaction to road traffic 2. In a nutshell Social Developer Skills & Interests Recognitions 7 years experience Full stack developer Angular, Big Data enthusiast Automation fanboy Microsoft MVP Developer Technologies Top contributor in the world on Stackoverflow for #Angular, #Cosmosdb Web application architecture Business intelligence Big Data Visualization Azure platform 120 repositories on Stackblitz 4800 answers on Stackoverflow Github contributions D3 directives and more Open-source contributions Sajeetharan Sinnathurai Senior Tech Lead at 99X Technology A few things about me! 3. What is sentiment analysis? "computationally identify and categorize the opinions expressed in a piece of text; determine whether positive/neutral/negative toward a topic/product…" [Oxford Dict.] 4. Why it is so important? What is Logic Apps? • Visual designer without writing single line of code • Dozens of pre-built templates to get started • Out of box support for popular SaaS and on-premises apps • Use with custom API apps of your own • Biztalk APIs for expert integration scenarios 9. Cognitive services Vision Speech Knowledge Language Search "Give your apps a human side" 10. •Sentiment analysis •Key phrase extraction •Topic detection •Language detection 13. Are we? Give away What were the two main Azure resources presented in this session? What is the name of the NOSQL database that could replace MSSQL in the proposed solution?

Take the example of a video streaming service like Hulu or Netflix. In order to make recommendations for users, engineers need to decide which videos to recommend based on input from users.

ABSTRACT The availability of powerful Natural Language Processing techniques led to the emergence of AI tool that reads and interprets unstructured textual information, such as news and social media messages. The sentiment of finance-related content influences trading and investment decisions of players in financial markets and hence, moves the prices of assets. Dr. Svetlana Borovkova has been working for several years in the area of sentiment analysis and its relation to financial markets; applications of sentiment analysis range from commodity trading to systemic risk to quantitative investment strategies. In this talk, Dr. Borovkova will give an overview of this exciting field and show, among other things, how media sentiment can be used to forecast global financial distress, to generate sector and country rotation investment strategies and to help enhance machine learning applications to intraday trading. SPEAKER Dr. Svetlana Borovkova is an Associate Professor of Quantitative Finance in Vrije Universiteit Amsterdam and Head of Quantitative Modelling in risk advisory firm Probability & Partners.

Facebook Inc. suspended another company that harvested data from its site and said it was investigating whether the analytics firm's contracts with the U.S. government and a Russian nonprofit tied to the Kremlin violate the platform's policies. Crimson Hexagon, based in Boston, has had contracts in recent years to analyze public Facebook data for those and other clients, according to people familiar with the matter and federal procurement data. Crimson Hexagon says it has the largest repository of public social media posts, totaling more than one trillion, from sites that also include Twitter Inc. TWTR -0.05% and Instagram. Crimson Hexagon operates with little oversight from Facebook once it pulls public data from the social-media platform, according to more than a dozen people familiar with the business. The government contracts weren't approved by Facebook in advance, for example, the people said.

Facebook said Friday it suspended a longtime partner that had used data from Facebook and other social networks to assist governments -- including Russia, Turkey, and the U.S. -- in monitoring public sentiment, a more cautious approach in the wake of a data privacy scandal. Facebook said it had found no evidence of wrongdoing by the Boston-based company, Crimson Hexagon, but it was curtailing the company's access to its data while it investigated the matter. The preemptive move represents a shift for Facebook in the wake of the controversy over political consultancy Cambridge Analytica, which Facebook said inappropriately collected the private profiles of more than 80 million Facebook users. The social network is under investigation from three different federal agencies over its work with Cambridge Analytica and, since the crisis erupted, has suspended more than 200 apps which had access to Facebook data. Crimson Hexagon, which primarily used public, aggregated data from people who made their profiles available for anyone to see, is the largest of this new wave of suspensions.

Human Factors in Hypertext (HUMAN) Opinion Mining, Summarization and Diversification Narrative and Hypertext I attended the Opinion Mining, Summarization and Diversification workshop. The workshop started with a talk titled: "On Reviews, Ratings and Collaborative Filtering," presented by Dr. Oren Sar Shalom, principal data scientist at Intuit, Israel. Next, Ophélie Fraisier, a PhD student studying stance analysis on social media at Paul Sabatier University, France, presented: "Politics on Twitter: A Panorama," in which she surveyed methods of analyzing tweets to study and detect polarization and stances, as well as election prediction and political engagement. He showed how collective opinion mining can help capture the drivers behind opinions as opposed to individual opinion mining (or sentiment) which identifies single individual attitudes toward an item. I thank a million people! https://t.co/I3quPp6nw3 He also discussed a phenomenon in which people are likely to lie to pollsters (social desirability bias) but are honest to Google ("Digital Truth Serum") because Google incentivizes telling the truth. The paper sessions followed the keynote with two full papers and a short paper presentation. Google search data as "digital truth serum" - while reporting of child abuse go down at the recession time, Google search data indicates that real child abuse increases https://t.co/DQQoAotZqB However, it feels more like a research talk rather than a #keynote. Though still interesting, I'd rather hear about a #vision for this area of #research.

British authorities looking into inappropriate use of data gathered by political consultant Cambridge Analytica from millions of Facebook users say some of the systems that accessed the material appear to be in Russia or a group of former Soviet states.