Natural language processing (NLP) is a branch of computer science and particularly of artificial intelligence that lends computers the capability to comprehend text and speech in very much the same manner that humans can.
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A sentiment label like positive, negative or neutral is assigned to text for training an AI model to automatically classify the sentiment of a text. This is handy in monitoring social media and analyzing customer sentiment.
Entities in a text like person names, locations, and organizations are used for automatically identifying and classifying them. It is useful for extracting information and classifying documents.
Part of Speech Tagging
Each word in a sentence is tagged with its corresponding part of speech for improving tasks including parsing and extracting information.
Documents are classified as per pre-defined categories (spam vs. non-spam, news articles by topic, or customer support requests) by type. These are used for routing incoming customer requests to the relevant department.
Translations of a source text is used for training a model to carry out text translation from one language to another. It is utilized by global businesses that require translated content for international customers.
Spoken words are transcribed into text for training a model to automatically transcribe and recognize speech. It is utilized in voice-activated assistants and speech-to-text transcription applications.
Applications of Natural Language Processing
Analyze medical records, clinical notes and patient data for offering enhanced patient care and treatment.
Analyze financial reports, news articles and social media data for predicting market trends, to identify possible investment choices.
Analyze social media data, customer reviews and surveys to get in-depth insight about your customers.
Analyze customer reviews, search queries and product descriptions to optimize search results enhance product recommendations and know customer’s needs.
Offer a robust solution for data that’s sensitive and requires processing for the public sector at federal, local as well as state level.
Analyze student feedback, course evaluations and study materials to enhance learning resources and knowing student needs in a better way.
Frequently Asked Questions
Natural language processing is a big and complicated language. It removes ambiguity, assists in detecting confusion and offers functional numeric structures for the data like “Text Analysis.” NLP automatically processes vast pools of data by reading with the aim of understanding and interpreting data having a quotient for sentiment analysis. NLP can also detect the significance of the context for providing accurate output.
NLP is made up in various ways by using varied machine learning methods as per the purpose for which analysis is being done. It may be a simple thing like usage frequency or something that is way more complex. Regardless of the use case, an algorithm needs to be devised.
It’s because of NLP that AI can justify its claim to being called as intelligent. Newer and deep learning models are consistently enhancing AI’s performance in Turing tests. Human nature is very complex as what they say is not the same as what they do.
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