Natural Language Processing
Natural Language Processing (NLP), is a subfield of artificial intelligence (AI). It helps machines process and understand the human language in any given context so that they can automatically perform repetitive tasks such as machine translation, summarization, ticket classification, and more.
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NLP Topics In Which You Can Get Help
Named Entity Recognition
NER is an information extraction technique to identify and classify named entities in text.
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Text summarization refers to the technique of shortening long pieces of text. Automatic text summarization is a common problem in machine learning and natural language processing (NLP).
Aspect based feature extraction process involves data pre-processing at the initial stage and then identify the require aspects for the feature selection and then detect the sentiments from the sentences.
Topic modeling is an unsupervised machine learning technique that’s capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.
Machine translation (MT) is automated translation. It is the process by which computer software is used to translate a text from one natural language (such as English) to another (such as Spanish).
Top Use Cases Of Natural Language Processing
Application Of Natural Language Processing In Business
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