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project Ideas

TOP NLP Projects in 2024

Introduction Introduction to Natural language processing: NLP is an exciting and upcoming field in Artificial Intelligence. NLP finds part in the portfolio of products for most of the companies working in the field of data sciences. NLP can be seen in action in all conversational voice assistants (Amazon Alexa, Apple Siri) to sentiment analysis (Hubspot’s […]

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named entity recognition

What is Named Entity Recognition (NER) Applications and Uses?

NER, short for, Named Entity Recognition is a standard Natural Language Processing problem which deals with information extraction. The primary objective is to locate and classify named entities in text into predefined categories such as the names of persons, organizations, locations, events, expressions of times, quantities, monetary values, percentages, etc.  To put it simply, NER

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Latent Dirichlet Allocation

Understanding Latent Dirichlet Allocation (LDA)

Contributed by: Arun K Sharma Imagine a large law firm takes over a smaller law firm and tries to identify the documents corresponding to different types of cases such as civil or criminal cases which the smaller firm has dealt or is currently dealing with. The presumption is that the documents are not already classified

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tokenization

Tokenising into Words and Sentences | What is Tokenization and it’s Definition?

What is tokenisation Tokenisation techniques (optional) Tokenising with NLTK Tokenising with TextBlob What is Tokenization? Tokenisation is the process of breaking up a given text into units called tokens. Tokens can be individual words, phrases or even whole sentences. In the process of tokenization, some characters like punctuation marks may be discarded. The tokens usually

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