Objective To quantify the time lag between biomedical articles and the studies they describe as “recent,” a term widely used to imply timeliness despite rarely reflecting the actual age of the cited ...
Americans use the f-word more frequently on social media than Australians or Britons, but Australians are more creative in ...
Abstract: With the increasing awareness of consumer health and the arrival of the big data era, how to efficiently extract valuable knowledge from massive health text information has become an urgent ...
Artificial Intelligence is shaking up digital marketing and search engine optimization (SEO). Natural Language Processing (NLP), a key component of AI search, is enabling businesses to interact with ...
ABSTRACT: This study centers on, with the aid of Kenneth Burke’s Rhetoric “Identification”, a rhetorical analysis of the English works by Chinese leaders throughout three different periods (1960-2017) ...
Plagiarism in academic and creative writing continues to be a significant challenge, driven by the exponential growth of digital content. This paper presents a systematic survey of various types of ...
Abstract: This research study mainly uses Natural Language Processing (NLP) and Machine Learning. The general approach of this tool is to apply sentiment analysis in Telugu Text translated from ...
#DESCRIPTION: My second task is Sentiment Analysis with NLP, where I analyze text data to determine whether the sentiment is positive, negative, or neutral. I implemented this using Natural Language ...
ABSTRACT: In the race to harvest the power of Artificial Intelligence (AI) in virtually every field, researchers and practitioners are faced with an ever increasing supply of novel tools that have not ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback