{"componentChunkName":"component---src-routes-tools-glossary-item-js","path":"/social-media-tools/glossary/natural-language-processing","result":{"data":{"wordpressPost":{"title":"[INTERNAL] Natural Language Processing [EDIT]","content":"\n<p>Natural language processing (NLP) is a component of AI that powers a number of everyday applications such as digital assistants like Siri or Alexa, GPS systems, and predictive texts on smartphones.</p>\n\n\n\n<p>Earlier versions of NLP used rule-based computational linguistics with statistical methods and machine learning to understand and draw conclusions from social messages, reviews and other data. More recent approaches leverage neural networks and large-language models (LLMs) to accomplish the tasks below</p>\n\n\n\n<p>To facilitate NLP, a number of sub-tasks are often conducted, including:</p>\n\n\n\n<ul><li>Tokenization: Text is broken down into smaller, more digestible single clauses.</li><li>Stemming: Words are broken down into root forms. For example, reading, reader, reads are stemmed into the word “read”.</li><li>Lemmatization: Contextually similar words or degrees are reduced to their root word. For example, better, best and very good are reduced to “good”.</li><li>Stop word removal: Words such as prepositions and articles are removed.</li><li>Part-of-speech-tagging: Nouns, verbs, adjectives, adverbs, pronouns, etc. are tagged.</li></ul>\n\n\n\n<p>To facilitate conversational communication with a human, NLP employs two other sub-branches called natural language understanding (NLU) and natural language generation (NLG). NLU uses algorithms that analyze text to understand words contextually, while NLG assists in generating meaningful words as a human would. Together, they power intelligent chatbots such as ChatGPT.</p>\n\n\n\n<p>Here are the main NLP techniques used in business and B2C environments.</p>\n\n\n\n<ol><li>Text summarizations: NLP algorithms scan vast amounts of data and condense the information to provide a summary with key insights.</li><li>Speech recognition: This technique analyzes audio data to translates it into text or maps it to known words. It’s used make closed captions and has been pivotal in empowering the hearing impaired.</li><li>Machine translations: NLP can automatically translate words in different languages so that users can absorb non-native information with minimal effort. Google Translate is a good example</li><li>Question answering systems: NLP algorithms scan data and search for relevant information to provide answers to a user. These systems can be rules-based or based on generative pre-trained models, like ChatGPT, that derive information by accessing publicly accessible data on the internet.</li><li>Named entity recognition: Named entity recognition (NER) is an NLP technique that identifies and extracts entities such as people, locations, brands, objects, currencies and such.</li><li>Semantic search: Semantic search is search technique that allows a user to retrieve information by understanding the intention of the search beyond just using keywords.</li><li>Sentiment analysis: NLP algorithms that can categorize the emotions in a text to show whether it is positive, negative or neutral and to what extent.</li><li>Aspect-based sentiment: This advanced technique analyzes sentiment in aspects that have been extracted from topics in a text. This fine-grained view of market sentiment can give brands insight into exactly where they need to improve and what aspects are going well.</li></ol>\n","excerpt":"<p>Natural language processing (NLP) is a component of AI that powers a number of everyday applications such as digital assistants like Siri or Alexa, GPS systems, and predictive texts on smartphones. Earlier versions of NLP used rule-based computational linguistics with statistical methods and machine learning to understand and draw conclusions from social messages, reviews and other data. [&hellip;]</p>\n","date":"2023-07-31T00:42:30.000Z","author":{"name":"Hailey Roover","avatar_urls":{"wordpress_96":"https://secure.gravatar.com/avatar/421b62e6ef194f20445416febeb3d1ad?s=96&d=mm&r=g"}},"categories":[{"slug":"internal","name":"[internal]"}],"featured_media":null,"yoast_meta":{"yoast_wpseo_title":"[INTERNAL] Natural Language Processing [EDIT] - Vista Social","yoast_wpseo_metadesc":"Dive into Natural Language Processing with our guide: Learn how to program computers to process and analyze large amounts of natural language data.","yoast_wpseo_canonical":"https://cms.vistasocial.com/?p=16498"}}},"pageContext":{"article":"internal-glossary-natural-language-processing","name":"Natural language processing","description":"Natural language processing (NLP) is a subfield of AI that powers a number of everyday applications such as digital assistants like Siri or Alexa, GPS systems and predictive texts on…"}},"staticQueryHashes":["63159454"]}