What Are Natural Language Processing And Conversational AI: Examples

NLP can be used in chatbots and computer programs that use artificial intelligence to communicate with people through text or voice. The chatbot uses NLP to understand what the person is typing and respond appropriately. They also enable an organization to provide 24/7 customer support across multiple channels. Artificial intelligence stands to be the next big thing in the tech world.

For instance, NLP is the core technology behind virtual assistants, such as the Oracle Digital Assistant (ODA), Siri, Cortana, or Alexa. When we ask questions of these virtual assistants, NLP is what enables them to not only understand the user’s request, but to also respond in natural language. NLP applies both to written text and speech, and can be applied to all human languages. Other examples of tools powered by NLP include web search, email spam filtering, automatic translation of text or speech, document summarization, sentiment analysis, and grammar/spell checking.

NLP in Machine Translation Examples

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years.

Natural language processing is a branch of artificial intelligence that allows computers to understand, interpret, and manipulate human language in the same ways humans can through text or spoken words. For those who don’t know me, I’m the Chief Scientist at Lexalytics, an InMoment company. We sell text analytics and NLP solutions, but at our core we’re a machine learning company. We maintain hundreds of supervised and unsupervised machine learning models improve our systems. And we’ve spent more than 15 years gathering data sets and experimenting with new algorithms.

NLP Projects Idea #2 Conversational Bots: ChatBots

It is used to group different inflected forms of the word, called Lemma. The main difference between Stemming and lemmatization is that it produces the root word, which has a meaning. For Example, intelligence, intelligent, and intelligently, all these words are originated with a single root word “intelligen.” In English, the word “intelligen” do not have any meaning. Augmented Transition Networks is a finite state machine that is capable of recognizing regular languages. The processed data will be fed to a classification algorithm (e.g. decision tree, KNN, random forest) in order to classify the data into spam or ham (i.e. non-spam email).

Read more about https://www.metadialog.com/ here.