Clustering text embeddings: TF-IDF + BERT Sentence Embeddings [P]

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
topic-modeling word-embeddings document-embedding topic-vector topic-search

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • sentence-transformers

    Multilingual Sentence & Image Embeddings with BERT

    • sentence-transformers: https://github.com/UKPLab/sentence-transformers umap: https://umap-learn.readthedocs.io/en/latest/

  • Top2Vec

    Top2Vec learns jointly embedded topic, document and word vectors.

    • Checkout Top2Vec. It seems to fit your needs.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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