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Brainy Fact


                      According to Dashbot.io, a bot analytics service, the two most popular words to start a discussion
                      with a chatbot are "hi" and "hello." A question mark(?), “hey,” “help,” “yes,” and a thumbs up icon were
                      among the most common messages. By the year 2029, it is expected that chatbots would acquire
                      human-level language abilities.




                                Reboot


                      1.  Fill in the blanks:
                         a.  AI that can be taught to identify emotions is called       .

                         b.   The AI system learns              and links between words, sentences, and their meanings
                             through a massive dataset of language usage and classification.
                         c.                 are software applications or computer programs that simulate conversation with
                             human user, usually via text or voice interactions.

                         d.  A                chatbot struggles with understanding complex language.
                         e.  An intent is a             that explains why a user is contacting the chatbot.

                         f.   A dialog is like a flowchart – an IF/THEN        structure that shows how a computer will
                            react to user intents.
                      2.   Write two possible queries that you will input in a chatbot when you want to inquire about booking
                         tickets to a movie.











                        Phases of NLP—Converting Speech to Text & Analysing its Intent





                                Lexical         Syntactic       Semantic         Discourse        Pragmatic
                               Analysis         Analysis         Analysis       Integration        Analysis




                 Natural Language Processing (NLP) involves a series of five phases that enable machines to analyse, categorise, and
                 understand both spoken and written language. Companies use tools and algorithms that are in line with these NLP
                 stages to derive insights from huge volumes of data and support well-informed decision-making. For NLP to be used
                 effectively in text and voice applications, it is essential that these levels of NLP be understood. Let's explore each stage
                 in greater detail.


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