If you're trying to build a brand online, picking up followers on social media is vital. To stand out from the crowd, you need to post content that really catches the eye. The Air NEO Selfie Camera Drone makes that task much easier. This smart device can auto-fly from the palm of your hand to take a variety of images from an aerial perspective. It's normally priced at $159.95, but you can grab it for just $129.99 in an extended Cyber Monday deal at TechRepublic Academy.

It is important for sociable recommendation dialog systems to perform as both on-task content and social content to engage users and gain their favor. In addition to understand the user preferences and provide a satisfying recommendation, such systems must be able to generate coherent and natural social conversations to the user. Traditional dialog state tracking cannot be applied to such systems because it does not track the attributes in the social content. To address this challenge, we propose DEUX, a novel attribute-guided framework to create better user experiences while accomplishing a movie recommendation task. DEUX has a module that keeps track of the movie attributes (e.g., favorite genres, actors,etc.) in both user utterances and system responses. This allows the system to introduce new movie attributes in its social content. Then, DEUX has multiple values for the same attribute type which suits the recommendation task since a user may like multiple genres, for instance. Experiments suggest that DEUX outperforms all the baselines on being more consistent, fitting the user preferences better, and providing a more engaging chat experience. Our approach can be used for any similar problems of sociable task-oriented dialog system.

There is no shortage of options for social media management tools; there are more than 300 listed on the marketing technology landscape. And HelloWoofy isn't on it yet, but the start-up is aiming to bring the assistance of automation to social content creation for small businesses. The company announced a new integration with social media management platform Hootsuite Friday. As with any martech solution, integrations are key to user growth and retention. HelloWoofy has scheduling features, too, but it doesn't have the massive user base of Hootsuite.

Using machines to read text as a way to enhance understanding of market movements is a topic of intense polarization and debate. Back in the 90s, work on natural language processing (NLP) involved teams of linguists and computer scientists attempting to code up rules of grammar. Recent work has focused on techniques like word embedding, the underlying idea that a word is characterized by the company it keeps; semantic similarities between words are based on their distribution in large samples of data. Newsweek is hosting an AI and Data Science in Capital Markets conference on December 6-7 in New York. The "bag of words" approach has been applied commercially in finance for more than 10 years.

Using machines to read text as a way to enhance understanding of market movements is a topic of intense polarisation and debate. Back in the 90s, work on natural language processing (NLP) involved teams of linguists and computer scientists attempting to code up rules of grammar. Recent work has focused on techniques like word embedding, the underlying idea that a word is characterised by the company it keeps; semantic similarities between words are based on their distribution in large samples of data. The "bag of words" approach has been applied commercially in finance for more than 10 years. But it can depend on the source of information being analysed: a rule-based approach can work pretty well for news articles that follow certain editorial processes, while social media proves much more challenging.

Contextual knowledge is essential in answering questions given specific observations. While recent approaches to building commonsense knowledge basesvia text mining and/or crowdsourcing are successful,contextual knowledge is largely missing. To addressthis gap, this paper presents SocialExplain, a novel approach to acquiring contextual commonsense knowledge from explanations of social content. The acquisition process is broken into two cognitively simple tasks:to identify contextual clues from the given social content, and to explain the content with the clues. An experiment was conducted to show that multiple piecesof contextual commonsense knowledge can be identi-fied from a small number of tweets. Online users verified that 92.45% of the acquired sentences are good,and 95.92% are new sentences compared with existingcrowd-sourced commonsense knowledge bases.