Natural Language Processing and Capstone Assignment

Start Date: 01/24/2021

Course Type: Common Course

Course Link: https://www.coursera.org/learn/natural-language-processing-captsone-assignment

About Course

Welcome to Natural Language Processing and Capstone Assignment. In this course we will begin with an Recognize how technical and business techniques can be used to deliver business insight, competitive intelligence, and consumer sentiment. The course concludes with a capstone assignment in which you will apply a wide range of what has been covered in this specialization.

Course Syllabus

Natural Language Processing I
Natural Language Processing II
The Past, Present, and Future of Data Science I
The Past, Present, and Future of Data Science II

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Course Introduction

Welcome to Natural Language Processing and Capstone Assignment. In this course we will begin with an Recognize how techn

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Article Example
Outline of natural language processing The following natural language processing toolkits are popular collections of natural language processing software. They are suites of libraries, frameworks, and applications for symbolic, statistical natural language and speech processing.
Natural language processing Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages and, in particular, concerned with programming computers to fruitfully process large natural language corpora. Challenges in natural language processing frequently involve natural language understanding, natural language generation (frequently from formal, machine-readable logical forms), connecting language and machine perception, managing human-computer dialog systems, or some combination thereof.
History of natural language processing The history of natural language processing describes the advances of natural language processing (Outline of natural language processing). There is some overlap with the history of machine translation and the history of artificial intelligence.
Natural language processing in the late 1980s and mid 1990s, much Natural Language Processing research has relied heavily on machine learning.
Outline of natural language processing The following outline is provided as an overview of and topical guide to natural language processing:
Outline of natural language processing The following technologies make natural language processing possible:
Outline of natural language processing Natural language processing contributes to, and makes use of (the theories, tools, and methodologies from), the following fields:
Capstone Publishers Capstone imprints contain fiction and nonfiction titles. Capstone also has digital products (myON, Capstone Interactive Library, CapstoneKids FactHound and PebbleGo) and services (CollectionWiz and Library Processing).
Outline of natural language processing Natural language processing can be described as all of the following:
Studies in Natural Language Processing Studies in Natural Language Processing is the book series of the
Outline of natural language processing Natural language processing – computer activity in which computers are entailed to analyze, understand, alter, or generate natural language. This includes the automation of any or all linguistic forms, activities, or methods of communication, such as conversation, correspondence, reading, written composition, dictation, publishing, translation, lip reading, and so on. Natural language processing is also the name of the branch of computer science, artificial intelligence, and linguistics concerned with enabling computers to engage in communication using natural language(s) in all forms, including but not limited to speech, print, writing, and signing.
Empirical Methods in Natural Language Processing Empirical Methods in Natural Language Processing or EMNLP is a leading conference in the area of Natural Language Processing. EMNLP is organized by the ACM special interest group on linguistic data (SIGDAT).
Natural language user interface Natural language interfaces are an active area of study in the field of natural language processing and computational linguistics. An intuitive general natural language interface is one of the active goals of the Semantic Web.
Stream processing During the 1980s stream processing was explored within dataflow programming. An example is the language SISAL (Streams and Iteration in a Single Assignment Language).
Natural language processing Formerly, many language-processing tasks typically involved the direct hand coding of rules, which is not in general robust to natural language variation. The machine-learning paradigm calls instead for using statistical inference to automatically learn such rules through the analysis of large "corpora" of typical real-world examples (a "corpus" (plural, "corpora") is a set of documents, possibly with human or computer annotations).
Center for Language and Speech Processing Research is conducted by faculty, research scientists, and graduate students affiliated with six associated academic departments: biomedical engineering, cognitive science, computer science, electrical and computer engineering, mathematics, and psychology. The research involves work in all aspects of the science and technology of language and speech, with fundamental studies under way in areas such as language modeling, natural language processing, neural auditory processing, acoustic processing, optimality theory, and language acquisition.
Natural language Controlled natural languages are subsets of natural languages whose grammars and dictionaries have been restricted in order to reduce or eliminate both ambiguity and complexity (for instance, by cutting down on rarely used superlative or adverbial forms or irregular verbs). The purpose behind the development and implementation of a controlled natural language typically is to aid non-native speakers of a natural language in understanding it, or to ease computer processing of a natural language. An example of a widely used controlled natural language is Simplified English, which was originally developed for aerospace industry maintenance manuals.
Natural language understanding Natural language understanding (NLU) is a subtopic of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU is considered an AI-hard problem.
Natural Language Toolkit The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of Computer and Information Science at the University of Pennsylvania. NLTK includes graphical demonstrations and sample data. It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, plus a cookbook.
Natural language All language varieties of world languages are natural languages, although some varieties are subject to greater degrees of published prescriptivism and/or language regulation than others. Thus nonstandard dialects can be viewed as a wild type in comparison with standard languages. But even an official language with a regulating academy, such as Standard French with the French Academy, is classified as a natural language (for example, in the field of natural language processing), as its prescriptive points do not make it either constructed enough to be classified as a constructed language or controlled enough to be classified as a controlled natural language.