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Tags: tf-idf* + machine learning*

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1. Elasticsearch Was Great, But Vector Databases Are the Future

   The article discusses the evolution of search databases and how vector databases are emerging as a powerful alternative to traditional search engines like Elasticsearch.

   2024-11-19 Tags: elasticsearch, vector database, search engine, bm25, tf-idf, embedding by klotz
2. PolyFuzz: String matching, grouping, and evaluation. | Towards Data Science

   2020-12-08 Tags: string, matching, machine learning, polyfuzz, python, transformer, levenstein distance, text analysis, similarity, tf-idf, rapidfuzz, fasttext by klotz
3. Topic Modeling with BERT. | Towards Data Science

   2020-12-08 Tags: topic modeling, bert, classification, nlp, embedding, deep learning, tf-idf, clustering, marten grootendorst by klotz
4. Text Classification with NLP: Tf-Idf vs Word2Vec vs BERT | by Mauro Di Pietro | Jul, 2020 | Towards Data Science

   2020-07-19 Tags: text, classification, nlp, tf-idf, word2vec, bert by klotz
5. “A Game of Words: Vectorization, Tagging, and Sentiment Analysis”

   2019-07-22 Tags: word embedding, tf-idf, kaggle, text understanding, game of thrones, nlp by klotz
6. [NLP] Performance of Different Word Embeddings on Text Classification

   2019-07-11 Tags: word embedding, tutorial, tf-idf by klotz
7. How I used machine learning to classify emails and turn them into insights (part 1).

   2018-11-07 Tags: machine learning, tf-idf, k-means, text, nlp, classifier, email by klotz
8. Applying Machine Learning to classify an unsupervised text document

   2018-11-03 Tags: machine learning, nlp, tf-idf, classification, k-means, blog by klotz
9. Comparing the performance of non-supervised vs supervised learning methods for NLP text…

   2018-10-19 Tags: nlp, machine learning, tf-idf, classification, k-means, pca, lda by klotz

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