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Susan Collins dealt new polling blow ahead of 2026 midterms ‘A piece of paper doesn’t make you human’: Growing up with undocumented parents in America ‘The Late Show With Stephen Colbert' Ending After ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

Sentiment Analysis using NLP involves analyzing text data to determine the sentiment expressed, such as positive, negative, or neutral. It leverages techniques like tokenization, vectorization, and ...

Abstract: After the 20th century ended, people in the 21st century started to worry more about their own health and the health of their families. Realizing that “health is wealth,” they decide that ...

Abstract: The paper Augmenting Content Retrieval Using NLP in AIML describes using Natural Language Processing (NLP) with Artificial Intelligence Markup Language (AIML) to enhance content retrieval.

This Python package provides efficient linguistic feature extraction for text datasets (i.e. datasets with N text instances, in a tabular structure). If you want to use the spacy backbone, you will ...

In the domain of sequential decision-making, especially in robotics, agents often deal with continuous action spaces and high-dimensional observations. These difficulties result from making decisions ...