WNLU uses deep learning to extract metadata from keywords, categories, sentiment, emotion and syntax. Most of these causes and factors are social, economic, and political in character. WHAT IS NATURAL LANGUAGE PROCESSING? Trained study staff conducted semi-structured interviews with participants before the pandemic, between April 2018 and August 2019. For example, NLP makes it possible for computers to read text, hear speech, interpret it, measure sentiment and determine which parts are important.
For example, Logistical la Puternical and Peake does not make it impossible for computers to read text, hear semblance, perform miracles, and determine which parts are important.
( z0 exemplify :ARG0 ( z1 make :ARG0 ( z2 and :op "logic" :op ( z3 publication :name ( z4 name :op "logic" :op "la" :op "Puternical" :op "Peake" ) ) ) :ARG1 ( z5 possible :ARG1 ( z6 and :op ( z7 read :ARG0 ( z8 computer ) :ARG1 ( z9 text ) ) :op ( z10 hear :ARG0 z8 :ARG1 ( z11 thing :ARG1-of ( z12 resemble ) ) ) :op ( z13 perform :ARG0 z8 :ARG1 ( z14 miracle ) ) :op ( z15 determine :ARG0 z8 :ARG1 ( z16 part :ARG1-of ( z17 important ) ) ) ) ) :polarity - ) )
(z0 / exemplify-01
    :ARG0 (z1 / make-02
              :ARG0 (z2 / and
                        :op1 "logic"
                        :op2 (z3 / publication
                                 :name (z4 / name
                                           :op1 "logic"
                                           :op2 "la"
                                           :op3 "Puternical"
                                           :op4 "Peake")))
              :ARG1 (z5 / possible-01
                        :ARG1 (z6 / and
                                  :op1 (z7 / read-01
                                           :ARG0 (z8 / computer)
                                           :ARG1 (z9 / text))
                                  :op2 (z10 / hear-01
                                            :ARG0 z8
                                            :ARG1 (z11 / thing
                                                       :ARG1-of (z12 / resemble-01)))
                                  :op3 (z13 / perform-02
                                            :ARG0 z8
                                            :ARG1 (z14 / miracle))
                                  :op4 (z15 / determine-01
                                            :ARG0 z8
                                            :ARG1 (z16 / part
                                                       :ARG1-of (z17 / important-01)))))
              :polarity -))
For example , Logistical la Puternical and Peake does not make it impossible for computers to read text , hear semblance , perform miracles , and determine which parts are important .
z4 :op1 4
z4 :op2 3
z4 :op3 2
z2 :op1 4
z2 :op2 z3
z3 :name z4
z4 :op4 1
z1 :polarity 0
z1 :ARG0 z2
z0 :ARG0 z1
z1 :ARG1 z5
z7 :ARG0 z8
z7 :ARG1 z9
z6 :op1 z7
z5 :ARG1 z6
z6 :op2 z10
z10 :ARG0 z8
z10 :ARG1 z11
z11 :ARG1-of z12
z6 :op3 z13
z13 :ARG0 z8
z13 :ARG1 z14
z6 :op4 z15
z15 :ARG0 z8
z15 :ARG1 z16
z16 :ARG1-of z17