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--- nlp:topic_modeling [2021/11/30 07:45] – [Related Pages] jmflanig
+++ nlp:topic_modeling [2023/09/06 09:33] (current) – [Overviews] jmflanig
@@ Line 4: / Line 4: @@
   * [[https://en.wikipedia.org/wiki/Topic_model|Wikipedia - Topic Model]]
   * [[https://oar.princeton.edu/bitstream/88435/pr1bv3w/1/OA_IntroductionProbabilisticTopicModels.pdf|Blei 2012 - Introduction to Probabilistic Topic Models]]
+  * Surveys
+    * [[https://dl.acm.org/doi/pdf/10.1145/3507900?casa_token=dix6D7eQu6QAAAAA:ibflHjUrVvZVK50u_z43d9bIuxt4W8_i9qEF55lpvYe1Up5_Dp_VWf7f-iV4Uz81ac9uf6Y-fZKMfw|Churchill & Singh 2022 - The Evolution of Topic Modeling]]
 ===== Papers =====
@@ Line 10: / Line 12: @@
   * Recent papers
     * [[https://aclanthology.org/E17-2069.pdf|Schofield et al 2017 - Pulling Out the Stops: Rethinking Stopword Removal for Topic Models]]
+    * [[https://arxiv.org/pdf/1809.02687.pdf|Ding et al 2018 - Coherence-Aware Neural Topic Modeling]]
+    * [[https://arxiv.org/pdf/2006.03354.pdf|Song et al 2020 - Classification Aware Neural Topic Model and its Application on a New COVID-19 Disinformation Corpus]]
     * [[https://arxiv.org/pdf/2108.10755.pdf|Cheevaprawatdomrong et al 2021 - More Than Words: Collocation Tokenization for Latent Dirichlet Allocation Models]]
+    * **[[https://arxiv.org/pdf/2203.05794.pdf|Grootendorst et al 2022 - BERTopic: Neural topic modeling with a class-based TF-IDF procedure]]**
+  * Applications
+    * [[https://aclanthology.org/P11-1098.pdf|Chambers & Jurafsky 2011 - Template-Based Information Extraction without the Templates]]
+===== Software =====
+  * [[https://radimrehurek.com/gensim/|Gensim]] [[https://www.analyticsvidhya.com/blog/2016/08/beginners-guide-to-topic-modeling-in-python/|blog post]]
 ===== People =====