1118 Open source projects that are alternatives of or similar to Text2vec

Beautiful visualizations of how language differs among document types.

A fast, efficient universal vector embedding utility package.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

Topic Modelling for Humans

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Resources for learning about Text Mining and Natural Language Processing

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

Exploring the simple sentence similarity measurements using word embeddings

[KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding

A collection of notebooks for Natural Language Processing from NLP Town

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.

Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.

Word Embeddings (e.g. Word2Vec) in Go!

A practical guide to topic mining and interactive visualizations

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

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.

A PureScript, browser-based implementation of LDA topic modeling.

Various Algorithms for Short Text Mining

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

Oxford Deep NLP 2017 course - Practical 1: word2vec

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

A pipeline for training word embeddings using word2vec on wikipedia corpus.

Benchmarks for intrinsic word embeddings evaluation.

A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI

Fast topic modeling platform

ACL 2019: Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks

Word Embeddings for Information Retrieval

A two-stream convolutional neural network for learning abitrary similarity functions over two sets of training data

Weaving analytical stories from text data

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Compact high quality word embeddings for Russian language

Conversational text Analysis using various NLP techniques

Sarcasm Detection for Sentiment Analysis

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Train Wikidata with word2vec for word embedding tasks

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

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Google News and Leo Tolstoy: Visualizing Word2Vec Word Embeddings using t-SNE.

Text Mining for Indonesian Online News Articles About Corona

Four word embedding models implemented in Python. Supporting arbitrary context features

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

Load embeddings and featurize your sentences.

Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding..

BERT, LDA, and TFIDF based keyword extraction in Python

LDA topic modeling for node.js

LanguageCrunch NLP server docker image

Machine Learning Lectures at the European Space Agency (ESA) in 2018

extract text from any document. no muss. no fuss.

Codenames AI using Word Vectors

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

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BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Paper reading list in natural language processing, including dialogue systems and text generation related topics.