MaartenGr/BERTopic — ANGESTROM

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

FuzzySimilar title/name (fuzzy) · 87%Research Entity Extraction and Topic Detection from UKRI Grant Proposals →
“Fuzzy title match (0.94): “Research Entity Extraction and Topic Detection from UKRI Gra” ≈ “MaartenGr/BERTopic””
FuzzySimilar title/name (fuzzy) · 87%Comment-level Topic Drift Analysis in the Reddit Corpus →
“Fuzzy title match (0.94): “Comment-level Topic Drift Analysis in the Reddit Corpus” ≈ “MaartenGr/BERTopic””
FuzzySimilar title/name (fuzzy) · 87%Dialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition →
“Fuzzy title match (0.94): “Dialogue Summarization with Emotion Dynamics Using Topic- an” ≈ “MaartenGr/BERTopic””
PossiblePossibly related (embedding) · 54%Large Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - Newswise →
PossiblePossibly related (embedding) · 56%Large Language Models: Qwen3 Offers AI Models For Deeper Reasoning And Faster Responses - Trend Hunter →
FuzzySimilar title/name (fuzzy) · 87%A Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study →
“Fuzzy title match (0.94): “A Comprehensive Analysis of Arabic Natural Language Processi” ≈ “MaartenGr/BERTopic””
FuzzySimilar title/name (fuzzy) · 87%Flesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Models →
“Fuzzy title match (0.94): “Flesch-Kincaid Readability Depends Only on the Topic Distrib” ≈ “MaartenGr/BERTopic””
FuzzySimilar title/name (fuzzy) · 87%Dynamic Topic Modeling for Cross-Corpus Temporal Analysis →
“Fuzzy title match (0.94): “Dynamic Topic Modeling for Cross-Corpus Temporal Analysis” ≈ “MaartenGr/BERTopic””

Implements

paperResearch Entity Extraction and Topic Detection from UKRI Grant Proposals paperComment-level Topic Drift Analysis in the Reddit Corpus paperDialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition paperA Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study paperFlesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Models paperDynamic Topic Modeling for Cross-Corpus Temporal Analysis

Covers

newsLarge Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - Newswise newsLarge Language Models: Qwen3 Offers AI Models For Deeper Reasoning And Faster Responses - Trend Hunter

Related across the graph

paperResearch Entity Extraction and Topic Detection from UKRI Grant Proposals paperComment-level Topic Drift Analysis in the Reddit Corpus paperDialogue Summarization with Emotion Dynamics Using Topic- and Participant-Centric Decomposition paperA Comprehensive Analysis of Arabic Natural Language Processing Research: Trends, Topic Evolution, and Research Gaps -- A Bibliometric and Topic-Based Study paperFlesch-Kincaid Readability Depends Only on the Topic Distribution in Long Texts under Topic Models newsLarge Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - Newswise newsLarge Language Models: Qwen3 Offers AI Models For Deeper Reasoning And Faster Responses - Trend Hunter paperDynamic Topic Modeling for Cross-Corpus Temporal Analysis

Topics