用于获得对多维数据的几何见解的Python工具箱
text-vectorization 开源项目推荐(65 个)
text-vectorization 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 65 个仓库Word Factor Vectors
📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.
🚀 Course Recommendation System is a machine learning-powered web application designed to recommend similar courses from Coursera's vast dataset of over 3,000 courses. Built using Python, Scikit-learn, and Streamlit, the app preprocesses course data, applies text vectorization, and leverages cosine similarity to offer personalized recommendations.
Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity
This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.
In this project, task involves analyzing the content of the articles to extract key concepts and themes that are discussed across the articles to identify major themes/topics across a collection of BBC news articles.
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
Verified, from-scratch walkthrough of three core text vectorization techniques — Bag of Words, TF-IDF, and Word2Vec — with fully executed code, real output, and an honest note on where Word2Vec falls short on small corpora.
A DL project that helps in classifying Toxic Comment weather it is positive or not.
Comment Sentiment Analysis using Deep Learning
Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.
A diploma project focused on vectorizing scientific texts using the Top2Vec algorithm, with the aim of analyzing thematic groups, identifying trends, and visualizing the dynamics of interest in various topics in the field of computer science.
Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!
Hands-on labs and solutions from AWS Academy's Machine Learning for Natural Language Processing course — covering text vectorization, sentiment analysis, entity recognition, topic modeling, and multilingual NLP using AWS ML services.
🧠 Machine Learning & Natural Language Processing: Predict the author of literary text snippets. Built with TensorFlow and Keras, this project trains an LSTM model on classic literature to identify writing style and authorship.
Machine learning-based sentiment analysis system that classifies movie reviews as positive or negative using NLP techniques and text classification models.
A simple Python script for transforming a corpus of documents into text vectors suitable for visualization
LLM-inspired BiLSTM pipeline for real-time, multi-label toxicity inference across adversarial discourse modalities.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/text-vectorization。
- 该话题在 GitHub 上共有 65 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1994 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。