Hands-On Natural Language Processing with PyTorch 1.x

Intheinternetage,whereanincreasingvolumeoftextdataisgenerateddailyfromsocialmediaandotherplatforms,beingabletomakesenseofthatdataisacrucialskill.Withthisbook,you’lllearnhowtoextractvaluableinsightsfromtextbybuildingdeeplearningmodelsfornaturallanguageprocessing(NLP)tasks.StartingbyunderstandinghowtoinstallPyTorchandusingCUDAtoacceleratetheprocessingspeed,you’llexplorehowtheNLParchitectureworkswiththehelpofpracticalexamples.ThisPyTorchNLPbookwillguideyouthroughcoreconceptssuchaswordembeddings,CBOW,andtokenizationinPyTorch.You’llthenlearntechniquesforprocessingtextualdataandseehowdeeplearningcanbeusedforNLPtasks.Thebookdemonstrateshowtoimplementdeeplearningandneuralnetworkarchitecturestobuildmodelsthatwillallowyoutoclassifyandtranslatetextandperformsentimentanalysis.Finally,you’lllearnhowtobuildadvancedNLPmodels,suchasconversationalchatbots.Bytheendofthisbook,you’llnotonlyhaveunderstoodthedifferentNLPproblemsthatcanbesolvedusingdeeplearningwithPyTorch,butalsobeabletobuildmodelstosolvethem.