Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

**Randomized Title:** **EchoLens: Quantifying Sentiment Feedback Loops to Predict Micro-Trend Virality Within Differentiated Online Subcultures**

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17244017
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

Zenodo (CERN European Organization for Nuclear Research)
Remote Sensing in Agriculture
article

Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities

article en

Abstract

**Randomized Title:** **EchoLens: Quantifying Sentiment Feedback Loops to Predict Micro-Trend Virality Within Differentiated Online Subcultures**

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Openalex Percentile: Top 41%
Remote Sensing in Agriculture
DOIOpen Access PDFOpenAlex
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Hyper-Specific Sub-Field Selection: Sentiment-Driven Predictive Modeling of Micro-Trend Diffusion Across Niche Online Communities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS