Quote: "Natural language processing (NLP) is an interdisciplinary subfield of computer science and linguistics."
Analyzing the meaning of words and phrases and their relationships in a text.
Natural Language Understanding (NLU): The ability of computers to interpret and understand human language.
Natural Language Generation (NLG): The ability of computers to generate human-like language.
Named Entity Recognition (NER): The process of identifying and categorizing entities in text such as people, organizations, and locations.
Part-of-Speech (POS) Tagging: The process of identifying the parts of speech (e.g. nouns, verbs, adjectives) in a sentence.
Sentiment Analysis: The process of identifying the emotional tone or attitude behind a piece of text.
Language Models: Statistical models that can predict the probability of a sequence of words given a context.
Word Sense Disambiguation: The process of identifying the correct meaning of a word based on the context in which it is used.
Semantic Role Labelling: The process of identifying the roles that nouns and verbs play in a sentence.
Machine Translation: The process of translating one language into another using computer algorithms.
Information Extraction: The process of extracting structured data from unstructured text.
Knowledge Graphs: Graph databases that represent knowledge as nodes and edges, allowing for more efficient querying and reasoning.
Dialog Systems: Computer systems that can interact with humans using natural language.
Text Summarization: The process of automatically generating a summary of a longer piece of text.
Speech Recognition: The process of translating spoken language into text.
Discourse Analysis: The study of how language is used in context, including the structure and coherence of conversations and texts.
Word Sense Disambiguation: This involves identifying the correct meaning of a word based on its context within a sentence.
Named Entity Recognition: This involves identifying people, places, and organizations within a given text.
Sentiment Analysis: This involves determining the overall sentiment or tone of a piece of text.
Summarization: This involves creating a brief summary of a longer piece of text or document.
Entity Linking: This involves linking a named entity to a specific knowledge base or database.
Coreference Resolution: This involves resolving references to a particular entity within a text.
Question Answering: This involves answering questions posed in natural language based on a given piece of text or knowledge base.
Document Classification: This involves categorizing a document based on its content or purpose.
Text Classification: This involves categorizing a piece of text based on its content or purpose.
Emotion Detection: This involves detecting the emotions that are being conveyed in a piece of text.
Quote: "It is primarily concerned with giving computers the ability to support and manipulate speech."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic machine learning approaches."
Quote: "The goal is a computer capable of 'understanding' the contents of documents, including the contextual nuances of the language within them."
Quote: "The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves."
Quote: "Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation."
Quote: "Natural language processing (NLP) is an interdisciplinary subfield of computer science and linguistics."
Quote: "Natural language processing (NLP) is an interdisciplinary subfield of computer science and linguistics."
Quote: "It is primarily concerned with giving computers the ability to support and manipulate speech."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic machine learning approaches."
Quote: "The technology can then accurately extract information and insights contained in the documents."
Quote: "The goal is a computer capable of 'understanding' the contents of documents, including the contextual nuances of the language within them."
Quote: "The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic machine learning approaches."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or probabilistic machine learning approaches."
Quote: "Challenges in natural language processing frequently involve speech recognition, natural-language understanding, and natural-language generation."
Quote: "Natural language processing (NLP) is an interdisciplinary subfield of computer science and linguistics."
Quote: "It involves processing natural language datasets, such as text corpora or speech corpora."
Quote: "The technology can then accurately extract information and insights contained in the documents."