Nlp

Abstract This research introduces Attention Windows, a novel framework for measuring the cognitive span required by listeners to follow lyrical narratives. How long can a theme persist before the lyrics shift to something new? Building on previous semantic embedding analyses of the Beatles and Pink Floyd, we develop a multi-method approach to quantify this narrative architecture across two iconic albums: The Dark Side of the Moon and Abbey Road. Core Finding (UNEXPECTED): The analysis reveals a systematic failure of distributional semantics to capture abstract thematic coherence in progressive rock. The Beatles exhibit significantly longer attention windows (μ = 0.57 lines, SD = 1.48) than Pink Floyd (μ = 0.25 lines, SD = 0.97) when measured with OpenAI’s text-embedding-ada-002 at its calibrated threshold (θ = 0.85). This counterintuitive result (p < 0.01, Cohen’s d = -0.24) exposes a fundamental limitation: transformer-based embeddings, trained on distributional statistics from web corpora, systematically privilege type-level lexical overlap (repeated tokens, n-grams) over token-level conceptual continuity (abstract themes expressed through synonymy, metaphor, and semantic field variation). The Beatles’ verse-chorus architecture creates high embedding similarity through verbatim repetition, while Pink Floyd’s through-composed approach—deploying varied metaphorical expressions of unified philosophical themes—produces orthogonal embedding vectors despite conceptual unity. This is not a quirk of ada-002 but a structural property of distributional semantics: co-occurrence statistics cannot distinguish “same theme, different words” from “different themes, same words.” ...

Post Objective Data cleaning and preliminary analysis process Understanding the emotional charge or plot development of texts through semantic archaeology based on PCAs Understanding the connections and most representative ideas within the document set Intention Understanding a story’s behavior at the level of its variance is a challenge addressed by attentional engineering. Therefore, using lesser-known methods such as the vector narrative arc combined with a literary map constitutes an interesting route to address increasingly common problems. ...