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Applications of NLP

                 Businesses can utilise NLP tools to analyse data, discover insights, automate time-consuming tasks, and gain a competitive
                 advantage.

                 Sentiment Analysis
                 Natural  language  processing  (NLP)  may  analyse  consumer  comments,  social  media  postings,  product  reviews,  and
                 other text data to assess positive, negative, or neutral sentiment towards a brand, product, or service. This data helps
                 businesses understand their customers' impressions and sentiments.










                                        Negative                   Neutral                    Positive
                                Totally dissatisfied with the   Good Job but I will expect a   Brilliant effort guys!
                                 service. Worst customer      lot more in future.        Loved Your Work.
                                       care ever.












                                                             Sentiment analysis
                 Generally, 80% of data is unstructured. That data needs to be analysed and used in a structured manner whether it is in
                 the form of emails, texts, documents, articles, or anything else.

                   Voice Assistants
                 The use of voice assistants is growing in popularity. Almost everyone utilises
                 a virtual assistant (like Siri, Alexa, or Google Assistant) for various tasks like
                 making  calls,  setting  alarms,  scheduling  meetings,  making  notes,  and
                 browsing the internet. How do they function? To comprehend and react to
                 human speech, they employ a complex fusion of speech recognition, natural
                 language processing, and natural language interpretation. The ultimate goal
                 of voice assistants is to operate as an interface between people and the
                 internet, offering a range of services using basic speech recognition.



                                                       Email Filtering
                                                       We all use email on a regular basis. We get bombarded with communications
                                                       concerning our studies, careers, and other subjects. We receive emails from
                                                       a wide range of sources; some are promotional while others are work-related
                                                       or  from  our  ideal  organisation.  NLP  is  useful  in  this  situation.  It  assigns
                                                       emails based on whether they are considered “important” or “spam”.




                                                                   Leveraging Linguistics and Computer Science  383
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