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Reddit Inc lda topic modeling algorithm
Lda Topic Modeling Algorithm, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lda+topic+modeling+algorithm/latent+dirichlet+allocation/pmc09433987-107-5-15
Average 90 stars, based on 1 article reviews
lda topic modeling algorithm - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques.
Article Snippet: Jones et al. [17] used LDA to extract seven topics from all Reddit posts, both suicidal and non-suicidal.

Article Title: Topic sentiment analysis based on deep neural network using document embedding technique.
Article Snippet: Jelodar et al. [5] employed LDA to extract topics discussed by the users of Reddit regarding Coronavirus and took advantage of LSTM to categorize users’ sentiments on each topic.

Article Title: Investigating Substance Use via Reddit: Systematic Scoping Review.
Article Snippet: Notably, topic modeling with latent Dirichlet allocation was adopted by 4 articles to uncover the underlying topics and themes from the free-flowing Reddit posts [38,45,56,74].

Article Title: Sentiment Analysis of the Covid-19 Vaccines on Social Media.
Article Snippet: We conducted a sentiment analysis and Latent Dirichlet Allocation topic modeling from Reddit communities focusing on the COVID-19 vaccine.

Article Title: Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques.
Article Snippet: Topic modeling with LDA was used by eight studies to identify hidden topics in Reddit data.

Article Title: Experiments with LDA and Top2Vec for embedded topic discovery on social media data—A case study of cystic fibrosis
Article Snippet: In this study, we explored LDA and Top2Vec, two widely applied topic modeling algorithms on Reddit with an overarching aim of uncovering the needs/concerns patients with CF might have.

Modification:

Article Title: Determining PolyCystic Ovarian Syndrome Severity from Reddit Posts using Topic Modelling and Association Rule Mining
Article Snippet: .. Reddit users have provided their PCOS symptoms in their own words, so this topic modelling is utilized here to reduce the dimensions by grouping the users’ sub symptoms into the primary symptoms using a modified LDA approach Symptom Segmentation Grouping_Labelled Latent Dirichlet Allocation (SSG_LLDA). ..



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Reddit Inc lda topic modeling algorithm
Lda Topic Modeling Algorithm, supplied by Reddit Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/lda+topic+modeling+algorithm/latent+dirichlet+allocation/pmc09433987-107-5-15
Average 90 stars, based on 1 article reviews
lda topic modeling algorithm - by Bioz Stars, 2026-09
90/100 stars
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