textvec/textvec
Text vectorization tool to outperform TFIDF for classification tasks
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
$ git clone https://github.com/kavgan/nlp-in-practice.gitText vectorization tool to outperform TFIDF for classification tasks
A simple RoadMap to Natural Language Processing(NLP)
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.
๐ spaCy building blocks and visualizers for Streamlit apps
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
Data from GitHub ยท snapshot Sep 24, 2026