Two Movie recommenders deployed on Flask app. The recommender are build on NMF and Cosine Similarity model, trained on MovieLens 100k, and automatically updated every 12 hour!
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Aug 26, 2021 - Python
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nmf-matrix-factorization
Here are 5 public repositories matching this topic...
dataset
recommender-system
cosine-similarity
unsupervised-learning
pandas-python
nmf-matrix-factorization
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Updated
Oct 18, 2023 - Python
Pipeline de PLN do projeto "Mood Hound" (6º DSM - 2023, FATEC Profº Jessen Vidal - SJC)
python
nlp
mongodb
numpy
pandas
mlp-classifier
nmf-matrix-factorization
analise-de-sentimentos
modelagem-de-topicos
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Dec 6, 2023 - Python
This repository classifies Goodreads Fantasy book reviews into subgenres using advanced topic modeling techniques like NMF, LDA, and BERTopic. A dataset of 2M English-language reviews is analyzed, with topics compared to predefined subgenres using cosine similarity. Heatmaps and summaries visualize the results.
python
bash
natural-language-processing
topic-modeling
latent-dirichlet-allocation
bert
nmf-matrix-factorization
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Sep 30, 2024 - Python
Implementation of the Non-negative Multiple Matrix Factorization (NMMF) algorithm proposed in Takeuchi et al, 2013 with some modifications. There is a python native version NMMFlexPy and a R wrapper NMMFlexR
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Updated
Mar 6, 2024 - Python
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