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A Complete Guide of Natural Language Processing (NLP)

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Innovation and its advancements have gotten fundamental to our way of life in the digital age. In a digitally dominated world, a huge amount of information gets produced each second at an alarming rate. The flood of Big Data and Data Science has made it important to utilize raw information to make a few data-driven decisions. The question remains, how on the planet are we going to deal with this data. The appropriate response is through Natural Language Processing (NLP).


8 Thought-Provoking Cases Of NLP And Text Mining Use In Business

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Natural language processing, aka NLP, is a broad and rapidly evolving segment of today's emerging digital technologies often generalized as Artificial Intelligence (AI). Wikipedia defines NLP as " a subfield of AI concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data." By harnessing NLP, AI can successfully imitate human speech, form naturally-flowing sentences and give human-to-machine interactions a personal touch. Perhaps because both concepts are related to words and languages, natural language processing is often confused with text mining: advanced analysis technique used to filter large amounts of research and extract the relevant info. Text mining is more than just a search tool; its algorithms can understand complex concepts and identify patterns and trends across million of articles to provide valuable information with unmistakable novelty factor.


Role of Artificial Intelligence In Customer Need Identification

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Artificial Intelligence (AI) is no more a topic of science fiction novellas. Today, it is a reality with a promising future. Powered by analytics, it is setting new benchmarks in healthcare, smart homes and customer engagement, amongst others. A Pegasystems survey states that 100% of the top performing organizations are dabbling in Artificial Intelligence. More than ever, companies are realising the value of deploying AI-enabled systems for customer engagement.


Top 15 Hot Artificial Intelligence (AI) Technologies

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Artificial Intelligence was coined in 1955 to introduce a new discipline of computer science. It is rapidly and radically changing the various areas of our daily lives as the market for AI technologies is demanding and flourishing. There is a significant race between many start-ups and internet giants to acquire them. In this article we will discuss Top 15 Hot Artificial Intelligence technologies that one should know. Even for humans to communicate efficiently and clearly can be tricky.


Mike Gualtieri's Blog

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Artificial Intelligence (AI) is not one big, specific technology. Rather, it is comprised of one or more building block technologies. So, to understand AI, you have to understand each of these nine building block technologies. Now, you could argue that there are more technologies than the ones listed here, but any additional technology can fit under one of these building blocks. Knowledge engineering is a process to understand and then represent human knowledge in data structures, semantic models, and heuristics (rules).