Page 386 - AI Ver 3.0 Class 11
P. 386

Document Analysis
              Another use of Natural Language Processing is document analysis. Data is
              continuously being generated and needs to be properly kept, sorted, and
              searched in various fields including businesses, institutions, and schools.
              NLP has the potential to help with all of this. It saves us from the tiresome
              and time-consuming chore of looking through numerous files for a single
              person's information by not only searching a keyword but also categorising
              it according to the guidelines. Not only that, it also helps users make well-
              informed decisions on risk management and claims.



                                                     Automatic Summarisation
                                                     The  scope  of  data  processing  has  expanded  with  the  growth  of  data.
                                                     Processing data by hand takes a lot of time and is prone to mistakes. NLP
                                                     offers a solution for this as well; it is able to extract the emotional meaning
                                                     concealed  in  data  while  also  summarising  its  significance.  The  summary
                                                     procedure thus becomes more accurate and efficient.



                             Reboot


                    1.  Identify the NLP stage:

                       a.     This step involves studying and identifying a language’s word structure.



                       b.   This  involves  mapping  the  syntactic  structure  and  ensuring  that  the  presented  relationships
                           between entities, words, phrases, and sentences in the text are logical.



                       c.     In  this  stage,  grammar,  word  arrangement,  identifying  word  relationships  are  examined  to
                           determine if they make sense.



                       d.   During this stage, understanding the meaning of words and the context in which they are used is
                           completed.



                    2.   Fill in the blanks:
                       a.   Generally,             % of data is unstructured.

                       b.                 helps users make well-informed decisions on risk management and claims.
                       c.     The ultimate goal of         is to operate as an interface between people and the internet,
                           offering a range of services using basic speech recognition.

                       d.                 extracts the emotional meaning concealed in data along with its summarisation
                           keeping its significance.






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