gensim-word2vec 开源项目推荐（152 个）

explosion /sense2vec

🦆 Contextually-keyed word vectors

aws-samples /amazon-sagemaker-local-mode

亚马逊SageMaker本地模式示例

PrashantRanjan09 /WordEmbeddings-Elmo-Fasttext-Word2Vec

Using pre trained word embeddings (Fasttext, Word2Vec)

minimalparts /nonce2vec

Incremental learning of word embeddings with context informativeness.

prateekguptaiiitk /Resume_Filtering

A resume filtering based on natural language processing

fnielsen /wembedder

Wikidata embedding

alaBay94 /Sentiment-analysis-amazon-Products-Reviews

NLP with NLTK for Sentiment analysis amazon Products Reviews

giuseppebonaccorso /Reuters-21578-Classification

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

aitoralmeida /spanish_word2vec

Ready to use Spanish Word2Vec embeddings created from >18B chars and >3B words

Nomiluks /Sentence-Aspect-Category-Detection

Aspect-Based Sentiment Analysis

cmasch /word-embeddings-from-scratch

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

nursnaaz /Deeplearning-and-NLP

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

ICLRandD /Case2Vec

A simple web application for searching Word2Vec embeddings derived from approximately 2,000 law reports published by the The Incorporated Council of Law Reporting for England & Wales (https://www.iclr.co.uk).

giuseppebonaccorso /twitter_sentiment_analysis_word2vec_convnet

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

mmdoha200 /ArWordVec

ArWordVec is a collection of pre-trained word embedding model built from huge repository of Arabic tweets in different topics. The aim of these models is to support the community in their Arabic NLP-based research.

rezacsedu /Classification_Benchmarks_Benglai_NLP

Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

devildances /TwitterSentimentAnalysis

Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.

harshildarji /Machine-Learning

Machine Learning Practise

tien02 /ensemble-roberta-fasttext-vietnamese

Ensemble PhoBERT with FastText Embedding to improve performance on Vietnamese Sentiment Analysis tasks.

panangam /Twitter-LDA

Code to run LDA algorithm on Twitter/Foursquare scraped data.