IEEE

ACOM: Arabic Comparative Opinion Mining in Social Media Utilizing Word Embedding, Deep Learning Model, & LLM-GPT

Abstract: Reliance on social networks has become an integral part of modern daily activities. Social networks are crowded with vast numbers of comments, opinions, and beliefs about different aspects ...
IEEE

P-BERT: Toward Long Sequence Modeling by Enabling Language Representation With Prefix Sequence Compression, Soft Position Embedding, and Data Augmentation for Patent Relevance ...

Abstract: Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. However, existing truncation and divide-merge ...
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How Word Embeddings Work in Python RNNs?

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...