The global Artificial Intelligence company Expert System announced the release of the expert.ai NL API, the cloud-based Natural Language API that enables data scientists, computational linguists, knowledge engineers and developers to easily embed advanced Natural Language Understanding and Natural Language Processing capabilities (NLU / NLP) into their applications. This release is the first step in executing on the company's strategy to become the global platform of reference for AI-based Natural Language problem solving. The growing need for accessible and accurate AI-based NLU / NLP applications in the enterprise places increased demand on the developer ecosystem to bring speed, scale and precision to linguistic analysis. According to Gartner, "during recent years, advances in the application of machine learning (including neural networks) and knowledge graphs to natural language processing have enabled machine-based attribution that diminishes the need for human oversight. Application of the technology is broadening as well as deepening -- across industries and functional domains, and into use cases -- pushing this innovation from many years in the Tough of Disillusionment toward the Slope of Enlightenment."
Enterprises and investors are increasing their use of natural language APIs to assist processing in tasks like data mining for sales intelligence, tracking how marketing campaigns change over time, and better defending against phishing and ransomware attacks. Still, AI products that use natural language engines to analyze text have a long way to go to capture more than a fraction of the nuance humans use to communicate with each other. The company this week announced new advanced features for its cloud-based natural language API designed to help AI developers "[extract] emotions in large-scale texts and [identify] stylometric data driving a complete fingerprint of content," Expert.ai said in a statement. Based in Modena, Italy and with U.S. headquarters in Rockville, Maryland, Expert.ai The company's customers include media outlets like the Associated Press, which uses NL software for content classification and enrichment; business intelligence consultants like L'Argus de la Presse, which conducts brand reputation analysis with NL processing; and financial services firms like Zurich Insurance, which uses Expert.ai's
Understanding the sentiments of the people is not easy unless they express their feelings, opinions and perspective anything. But if you have such platforms where people are freely speaking up about their thoughts and concerns, you can easily find out their sentiments. Here where Cogito comes in the facility of sentiment analysis. Sentiment Analysis is the process of determining the conceptions, judgments, feelings, opinions, viewpoints, conclusions, and other notions towards anything. It is a technique to analyze texts, images, emojis and various other actions to know what other people think about a product, service, company, brand name, or a reaction to a specific event, social movement, etc. Sentiment analysis is playing an enormous role in understanding people belonging to different groups and their sentiments.
AI is already widely used to gauge consumer sentiment. Amazon mines huge amounts of data about search and online purchasing behavior to uncover insights about what customers buy and predict what they might want to buy in the future. Netflix bases its movie recommendations on what you've watched in the past, for how long, and how favorably you review the show. In all of those cases, consumer sentiment is being gauged not by what consumers say they want but by their actual behavior. That's a crucial difference, and one that gives AI a significant advantage over traditional polls.
We live in a world where the globe is connected and communication made easy with the click of a button. In this social age, the evolution of the World Wide Web (www), characterized by the advancement of smartphones and semantic technology, has redefined social media as a retail platform and an indispensable marketing tool. Social media marketing (SMM) is a form of digital marketing that involves sharing content on social media platforms in an attempt to actualize a firm's branding, sales, and web traffic goals. Social media has become essential to helping brands connect to a wider range of customers, establish brand presence, and increase sales both in-store and online. Considering the size of this new virtual market, it comes as no surprise that marketers would choose to use social media to increase brand awareness.