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Natural Language Processing to Detect Spam Messages

Analytics Vidhya

To detect spam users, we can use traditional machine learning algorithms that use information from users’ tweets, demographics, shared URLs, and social connections as features. […]. The post Natural Language Processing to Detect Spam Messages appeared first on Analytics Vidhya.

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Indexing in Natural Language Processing for Information Retrieval

Analytics Vidhya

The post Indexing in Natural Language Processing for Information Retrieval appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview This blog covers GREP(Global-Regular-Expression-Print) and its drawbacks Then we move.

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Rapid Keyword Extraction (RAKE) Algorithm in Natural Language Processing

Analytics Vidhya

Rapid Automatic Keyword Extraction(RAKE) is a Domain-Independent keyword extraction algorithm in Natural Language Processing. It is an Individual document-oriented dynamic Information retrieval method. The post Rapid Keyword Extraction (RAKE) Algorithm in Natural Language Processing appeared first on Analytics Vidhya.

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Must Know Data Pre-processing Techniques for Natural Language Processing!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data from the internet forms a huge source of information. The post Must Know Data Pre-processing Techniques for Natural Language Processing! appeared first on Analytics Vidhya.

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Knowledge graphs and LLMs: An integration to transform natural language processing

Data Science Dojo

Combining knowledge graphs (KGs) and LLMs produces a system that has access to a vast network of factual information and can understand complex language. They are a visual web of information that focuses on connecting factual data in a meaningful manner. What are large language models (LLMs)?

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.

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Transformer Models: The future of Natural Language Processing

Data Science Dojo

Transformer models are a type of deep learning model that are used for natural language processing (NLP) tasks. Learn more about NLP in this blog —-> Applications of Natural Language Processing The transformer has been so successful because it is able to learn long-range dependencies between words in a sentence.