NLP

Extracted Attributes

Neuro-linguistic programming

Neuro-linguistic programming (NLP) is a pseudoscientific approach to communication, personal development, and psychotherapy that first appeared in Richard Bandler and John Grinder's book The Structure of Magic I (1975). NLP asserts a connection between neurological processes, language, and acquired behavioral patterns, and that these can be changed to achieve specific goals in life. According to Bandler and Grinder, NLP can treat problems such as phobias, depression, tic disorders, psychosomatic illnesses, near-sightedness, allergy, the common cold, and learning disorders, often in a single session. They also say that NLP can model the skills of exceptional people, allowing anyone to acquire them. NLP has been adopted by some hypnotherapists as well as by companies that run seminars marketed as leadership training to businesses and government agencies. No scientific evidence supports the claims made by NLP advocates, and it has been called a pseudoscience. Scientific reviews have shown that NLP is based on outdated metaphors of the brain's inner workings that are inconsistent with current neurological theory, and that NLP contains numerous factual errors. Reviews also found that research that favored NLP contained significant methodological flaws, and that three times as many studies of a much higher quality failed to reproduce the claims made by Bandler, Grinder, and other NLP practitioners.

Web Search Results

• Neuro-linguistic programming - Wikipedia

  Neuro-linguistic programming (NLP) is a pseudoscientific approach to communication, personal development, and psychotherapy that first appeared in Richard Bandler and John Grinder's book The Structure of Magic I (1975). NLP asserts a connection between neurological processes, language, and acquired behavioral patterns, and that these can be changed to achieve specific goals in life. According to Bandler and Grinder, NLP can treat problems such as phobias, depression, tic disorders, psychosomatic illnesses, near-sightedness, allergy, the common cold, and learning disorders, often in a single session. They also say that NLP can model the skills of exceptional people, allowing anyone to acquire them. [...] Medical anthropologist Jean M. Langford categorizes NLP as a form of folk magic; that is to say, a practice with symbolic efficacy—as opposed to physical efficacy—that is able to effect change through nonspecific effects (e.g., placebo). To Langford, NLP is akin to a syncretic folk religion "that attempts to wed the magic of folk practice to the science of professional medicine". Bandler and Grinder were influenced by the shamanism described in the books of Carlos Castaneda.]](#cite_note-FOOTNOTEGrinderDeLozier1987<sup_class=)GrinderBostic\_St.\_Clair2001[]-112"> Concepts like "double induction"[citation needed] and "stopping the world", central to NLP modeling, were incorporated from these influences. [...] According to Stollznow, "Bandler and Grinder's infamous Frogs into Princes and their other books boast that NLP is a cure-all that treats a broad range of physical and mental conditions and learning difficulties, including epilepsy, myopia and dyslexia. With its promises to cure schizophrenia, depression and Post Traumatic Stress Disorder, and its dismissal of psychiatric illnesses as psychosomatic, NLP shares similarities with Scientology and the Citizens Commission on Human Rights (CCHR)." A systematic review of experimental studies by Sturt et al. (2012) concluded that "there is little evidence that NLP interventions improve health-related outcomes." In his review of NLP, Stephen Briers writes, "NLP is not really a cohesive therapy but a ragbag of different techniques without a

• Natural Language Processing (NLP) [A Complete Guide]

  Natural language processing (NLP) is the discipline of building machines that can manipulate human language — or data that resembles human language — in the way that it is written, spoken, and organized. It evolved from computational linguistics, which uses computer science to understand the principles of language, but rather than developing theoretical frameworks, NLP is an engineering discipline that seeks to build technology to accomplish useful tasks. NLP can be divided into two overlapping subfields: natural language understanding (NLU), which focuses on semantic analysis or determining the intended meaning of text, and natural language generation (NLG), which focuses on text generation by a machine. NLP is separate from — but often used in conjunction with — speech recognition, [...] ## Conclusion NLP is one of the fast-growing research domains in AI, with applications that involve tasks including translation, summarization, text generation, and sentiment analysis. Businesses use NLP to power a growing number of applications, both internal — like detecting insurance fraud, determining customer sentiment, and optimizing aircraft maintenance — and customer-facing, like Google Translate. [...] NLP is an exciting and rewarding discipline, and has potential to profoundly impact the world in many positive ways. Unfortunately, NLP is also the focus of several controversies, and understanding them is also part of being a responsible practitioner. For instance, researchers have found that models will parrot biased language found in their training data, whether they’re counterfactual, racist, or hateful. Moreover, sophisticated language models can be used to generate disinformation. A broader concern is that training large models produces substantial greenhouse gas emissions.

• Natural language processing - Wikipedia

  Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely associated with artificial intelligence. NLP is also related to information retrieval, knowledge representation, computational linguistics, and linguistics more broadly. Major processing tasks in an NLP system include: speech recognition, text classification, natural language understanding, and natural language generation. ## History [edit] Further information: History of natural language processing

• What is Natural Language Processing? Introduction to NLP | DataRobot Blog

  Natural language processing (Wikipedia): “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. In 1950, Alan Turing published an article titled ‘Computing Machinery and Intelligence’ which proposed what is now called the Turing test as a criterion of intelligence. Starting in the late 1980s, however, there was a revolution in NLP with the introduction of machine learning algorithms for language processing.” [...] ## What is natural language processing? Natural language processing (NLP) is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. [...] NLP is used to analyze text, allowing machines to understand how humans speak. This human-computer interaction enables real-world applications like automatic text summarization, sentiment analysis, topic extraction, named entity recognition, parts-of-speech tagging, relationship extraction, stemming, and more. NLP is commonly used for text mining, machine translation, and automated question answering.

• Natural Language Processing (NLP) Explained | Graphwise

  Natural language processing (NLP) helps machines work with human language, from understanding meaning to generating text. It also helps extract structured information from unstructured language. NLP is part of artificial intelligence (AI), but differs from machine learning, deep learning, and generative AI. These are different layers of the technology stack used to build language systems. Modern NLP pipelines combine tokenization, parsing, entity recognition, embeddings, and inference. Large language models (LLMs) expand on these capabilities but do not replace every task-specific NLP model. Enterprise NLP often needs knowledge graphs, taxonomies, retrieval systems, and structured semantics to connect language to real-world entities, relationships, and specific domain knowledge. [...] ### Defining natural language processing (NLP) Natural language processing is a branch of AI and computer science that transforms ambiguous linguistic input into representations machines can process while preserving relevant meaning, context, relationships, and intent. In simpler terms, NLP enables software to process language as humans naturally produce it, including sentences, documents, conversations, questions, transcripts, and messages. So, the primary goal of natural language processing is to map linguistic expressions to useful computational representations that support a downstream task.

• Instance Of

  Q7187