Results 131 to 140 of about 5,622,932 (269)

Lexicon-Based Sentiment Analysis on Text Polarities with Evaluation of Classification Models [PDF]

open access: yesarXiv
Sentiment analysis possesses the potential of diverse applicability on digital platforms. Sentiment analysis extracts the polarity to understand the intensity and subjectivity in the text. This work uses a lexicon-based method to perform sentiment analysis and shows an evaluation of classification models trained over textual data.
arxiv  

Empirical Evaluation of Embedding Models in the Context of Text Classification in Document Review in Construction Delay Disputes [PDF]

open access: yesarXiv
Text embeddings are numerical representations of text data, where words, phrases, or entire documents are converted into vectors of real numbers. These embeddings capture semantic meanings and relationships between text elements in a continuous vector space.
arxiv  

Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion [PDF]

open access: yesarXiv
The malicious usage of large language models (LLMs) has motivated the detection of LLM-generated texts. Previous work in topological data analysis shows that the persistent homology dimension (PHD) of text embeddings can serve as a more robust and promising score than other zero-shot methods.
arxiv  

TF-Mamba: Text-enhanced Fusion Mamba with Missing Modalities for Robust Multimodal Sentiment Analysis [PDF]

open access: yesarXiv
Multimodal Sentiment Analysis (MSA) with missing modalities has attracted increasing attention recently. While current Transformer-based methods leverage dense text information to maintain model robustness, their quadratic complexity hinders efficient long-range modeling and multimodal fusion. To this end, we propose a novel and efficient Text-enhanced
arxiv  

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