Top 52 gensim open source projects

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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.

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Log Anomaly Detection - Machine learning to detect abnormal events logs

Topic Modelling for Humans

Web-ify your word2vec: framework to serve distributional semantic models online

Using pre trained word embeddings (Fasttext, Word2Vec)

Pre-trained Word2Vec Model for Turkish

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

A fast, efficient universal vector embedding utility package.

📓 Long(er) text representation and classification using Doc2Vec embeddings

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

The reference implementation of "Multi-scale Attributed Node Embedding".

🦆 Contextually-keyed word vectors

gensim 中文文档

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

A practical guide to topic mining and interactive visualizations

Uses topic modeling to identify context between follower relationships of Twitter users

訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.

An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).

Association Rule Mining from Spatial Data for Crime Analysis

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

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.

Data repository for pretrained NLP models and NLP corpora.

中文詞向量訓練教學

Fast word vectors with little memory usage in Python

Compute Sentence Embeddings Fast!

ADAM - A Question Answering System. Inspired from IBM Watson

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

extract relationships from standardized terms from corpus of interest with deep learning 🐟

Hybrid Code Networks https://arxiv.org/abs/1702.03274

Repo for my talk at the PyData Berlin 2017 conference

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Implementação e modelo gerado com o treinamento (trigram) da wikipedia em pt-br

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

A text analysis application for performing common NLP tasks through a web dashboard interface and an API

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Statistical and Semantical Text Summarizer in Persian Language

document embedding and machine learning script for beginners

Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.

招商银行FinTech-复赛-财经新闻分析

Scripts demo-ing how to train a Word2Vec model and reduce its vector space

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

A private, free, open-source search engine built on a P2P network