Information Extraction
Most Popular Text Analytics Tools and Algorithms
With text analytics, various burning questions around the'why' and'what' of a piece or group of content can be answered. Examples like social media chatter around brand can create a supremely spiraling impact (remember the post which showed a Kentucky man was violently removed from his United Airlines seat on an overbooked flight? And how it lead to a social media disaster for the airline?). Hence there need to be ways to make sense of the unstructured data from diverse sources.
Multimodal Sentiment Analysis To Explore the Structure of Emotions
We propose a novel approach to multimodal sentiment analysis using deep neural networks combining visual analysis and natural language processing. Our goal is different than the standard sentiment analysis goal of predicting whether a sentence expresses positive or negative sentiment; instead, we aim to infer the latent emotional state of the user. Thus, we focus on predicting the emotion word tags attached by users to their Tumblr posts, treating these as "self-reported emotions." We demonstrate that our multimodal model combining both text and image features outperforms separate models based solely on either images or text. Our model's results are interpretable, automatically yielding sensible word lists associated with emotions. We explore the structure of emotions implied by our model and compare it to what has been posited in the psychology literature, and validate our model on a set of images that have been used in psychology studies. Finally, our work also provides a useful tool for the growing academic study of images - both photographs and memes - on social networks.
Social Media Sentiment Analysis, and Soccer Meltwater
Before delving into the nitty gritty of exactly how sentiment analysis works, let's break the concept down into something a little more tangible, shall we. Have you ever wondered what the South African public thought about, let's say, Iceland's football team defeating England in the Euro 2016? Well, that right there my friends, is why sentiment analysis software exists – to make vast quantities of data easily understandable at a glance. Think of it like a snapshot of the emotional response to a given topic. You might be asking yourself, but what about online surveys and polls, isn't that their purpose?
Facebook Data Scandal: EU Parliament Member: Mark Zuckerberg's Testimony 'A Farce'
Facebook CEO Mark Zuckerberg's highly anticipated testimony in front of European Union Parliament came and went Tuesday. Initially a private session, Zuckerberg agreed to let the event be livestreamed at the last minute, but transparency concerns lingered due to a question-and-answer format that ultimately left parliament members unsatisfied. Zuckerberg gave an opening statement before parliament members provided lists of questions on various topics. He was then given time to answer whatever questions he felt like answering after they had all been asked, with no opportunity for follow-up questions from the 12 Parliament members. Parliament member Udo Bullman of Germany called the meeting's format a "farce" in a statement.
Dr Sue Black on TechMums, Twitter, data security and artificial intelligence
Despite her rising profile internationally as a strong and hugely popular female voice in the technology sector, Dr Sue Black OBE is very modest for someone who has achieved a great deal of personal triumph while exploring what is important to herself. "It's a lot easier doing stuff you love than working in a job where you are not in control, yeah I work hard but at the same time it's a lot easier being charge of myself," she explains when asked about the numerous projects Black has wholeheartedly embraced, not least her campaign to Saving Bletchley Park, the birthplace of Alan Turing's Bombe machine, which led to her writing her debut book that has become the fasted crowdfunded book when published in 2016. Dr Black is a polite and enthusiastic person, and for the UK tech sector she is every bit the rock star it needs. Having received her OBE from The Queen last May, she has since been recognised by being inducted into Bima's Hall of Fame alongside the likes of Stephen Fry (co-incidentally one the highest profile champions of @savingbletchley), Dame Stephanie Shirley, Sir Jony Ive and Baroness Joanna Shields. "It's really nice to get recognition from organisations outside of academia who realise the potential of the work that I'm trying to do. I'm absolutely honoured and delighted to be recognised in this way because it means that the things that I really care about – other people really care about them as well and that is heart-warming for me that the change I am trying to make in the world is being recognised."
Mark Zuckerberg warned his legacy will be 'a genius who created a digital monster' at European Parliament hearing
Mark Zuckerberg was warned that he risks being remembered as "a genius who created a digital monster", by a senior member of the European Parliament, where the Facebook founder and chief executive was answering questions on a massive data leak affecting millions of users. Guy Verhofstadt said that the only way for scandals surrounding the social media giant to subside, would be for its services to be split apart. "I really think we have a big problem here and it won't be fixed by saying we will fix itself," the parliament's chief Brexit negotiator said. "Could you and would you cooperate with European Antitrust authorities?" The Belgian MEP went on to suggest that Facebook's dominance could be stifled by splitting it from Facebook messenger.
Facebook Data Scandal: Zuckerberg To Apologize To EU Lawmakers Over Facebook Data Leak
BRUSSELS - Facebook boss Mark Zuckerberg arrived to meet European Union lawmakers on Tuesday ready to apologize for a massive data leak, in his latest attempt to draw a line under a scandal that has rocked the world's biggest social media network. Zuckerberg agreed to meet leaders of the European Parliament to answer questions about how political consultancy Cambridge Analytica improperly got hold of the personal data of 87 million Facebook users, including up to 2.7 million in the EU. According to pre-released remarks, Zuckerberg will say it has become clear "over the last couple of years that we haven't done enough to prevent the tools we've built from being used for harm as well." "Whether it's fake news, foreign interference in elections or developers misusing people's information, we didn't take a broad enough view of our responsibilities. That was a mistake, and I'm sorry." His comments echo an apology last month to U.S. lawmakers, but questions remain over how Facebook let the leak happen and whether it is doing enough to prevent a recurrence.
Mark Zuckerberg to face public grilling at European Parliament after rejecting Commons invitation
Mark Zuckerberg will face a public grilling at the European Parliament on Tuesday, after a rebellion by MEPs over plans to hold the meeting in private. The Facebook founder is coming to Brussels to answer questions about his company's policies on personal data, privacy, and the social network's impact on elections – facing an interrogation by leaders of the assembly's political groups. The tech boss has so far refused similar requests to appear at the UK Parliament– prompting British MPs to warn that they might issue a formal summons for him to appear. In April he spent two days testifying before the US Congress. Antonio Tajani, the president of the European Parliament, had announced last week that the meeting would be held behind closed doors.
5 predictions for the future of machine learning
There are countless articles and books on the future of machine learning. Today, we'll keep the discussion down-to-earth with five near-term predictions: In only a few years, machine learning will become part of nearly every software application. Think of how well your TV streaming service knows what to recommend. Expect this level of personalization to become ubiquitous and improve the customer experience everywhere. As machine learning becomes increasingly valuable and the technology matures, more businesses will start using the cloud to offer machine learning as a service (MLaaS).