Natural-language-processing applications are ubiquitous: Alexa can set a reminder, or play a particular song, or provide your local weather if you ask; Google Translate can make documents readable ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language ...

The frameworks act as bridges, enabling insights to flow freely between analytics tools and operational platforms. A query ...

Natural-language filtering allows enterprise security responders to translate plain-language queries into precise, auditable ...

In the ever-evolving landscape of finance, Natural Language Processing (NLP) has emerged as a game-changer. This innovative technology, which enables computers to understand and interpret human ...

Natural language processing bridges the gap between real people’s search queries and what search engines have to offer. Comprehensive keyword research should be the backbone of your content ...

In an era dominated by voice-controlled devices, voice assistants have transformed how we interact with technology. These AI-driven systems, which leverage natural language processing (NLP), allow ...