Dataset Viewer
The dataset viewer is not available for this dataset.
Unexpected token '<', "<html>
<h"... is not valid JSON
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
🏆 BERTopic v22 - THE COMPLETE MASTERPIECE
Mejoras sobre v21:
- MODELO GUARDADO: SafeTensors para reutilización
- TODAS LAS VISUALIZACIONES: DataMapPlot, Hierarchy, Heatmap, etc.
- MÉTRICAS MATEMÁTICAS: Coherence (UMass, NPMI), Diversity, Silhouette
- TOPICS OVER TIME: Análisis temporal
- HIERARCHICAL TOPICS: Árbol jerárquico
- GET_DOCUMENT_INFO: Metadata completa
- REDUCE_OUTLIERS: Reducción inteligente
Métricas Matemáticas:
- Topic Diversity: 0.6995305164319249
- Silhouette Score: 0.5787373781204224
- Mean NPMI Coherence: 0.0
- Outlier Ratio: 0.14259485924112608
Archivos Generados:
modelos/topic_model_v22/: Modelo serializado (SafeTensors)visualizaciones/: HTMLs interactivos (DataMapPlot, Hierarchy, etc.)metricas/: JSON con todas las métricasdocument_info_complete.xlsx: Metadata por documentohierarchical_topics.xlsx: Estructura jerárquicatopics_over_time.xlsx: Evolución temporal
Cómo Cargar el Modelo:
from bertopic import BERTopic
topic_model = BERTopic.load("modelos/topic_model_v22")
Fórmulas Matemáticas Usadas:
UMass Coherence (Mimno et al., 2011)
C_UMass = (2 / (N * (N-1))) * Σ log((D(w_i, w_j) + ε) / D(w_j))
NPMI Coherence
NPMI(w_i, w_j) = log(P(w_i, w_j) / (P(w_i) * P(w_j))) / (-log(P(w_i, w_j)))
Topic Diversity (Dieng et al., 2020)
TD = |unique_words| / (|topics| * top_n)
Silhouette Coefficient
s(i) = (b(i) - a(i)) / max(a(i), b(i))
Davies-Bouldin Index
DB = (1/k) * Σ max_{j≠i}((σ_i + σ_j) / d(c_i, c_j))
Timestamp: 2026-01-14 16:26:35.120866
- Downloads last month
- 8