Deep contextualized word representations for Chinese

Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词

Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.

A pretrained word2vec embeddings for italian languages

Word embeddings for Italian language, spacy2 prebuilt model

Fake News Detection using related Headline Article pair

Deep Visual-Semantic Embeddings

Document clustering with word vectors.

No description provided.

A collection of PyTorch implementations of GPT-2 to generate stories interactively or autonomously done during my Internship at the University College Dublin in the Computational Creativity Group

A package that split misspelled words semantically

Removes foreign and non-language words from Facebook’s fastText vec-file

Identifying Interpretable Word Vector Subspaces with PCA

Categorizing Product reviews in appropriate categories.

Visualization of word embeddings using various algorithms.

This repo will have all the codes for our Pattern Recognition Lab university course.

🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.

💬 A hands-on collection of Jupyter notebooks exploring essential Natural Language Processing (NLP) concepts including tokenization, stop words, Bag of Words, TF-IDF, POS tagging, NER, SpaCy pipelines, stemming, lemmatization, and word embeddings with FastText and Gensim.

Code to create a natural language search facility in Google BigQuery

Algunos nbs sobre procesamiento del lenguaje natural

A repository for my semester project for my graduate Data Mining I.

Natural Language Processing implementations from scratch in Python.

NYU ITP 2019 Thesis. An interactive experience to see how machine interpret one thing differently from human

Experiment on RNNs for text checking on coherence

This repository implements different architectures for training word embeddings.

word vectors for french

Detect lexical blending using similarity by approximate string matching and word vectors

No description provided.

This repository houses 3 different Jupyter Notebooks that each analyze the similarity in data points to most effectively inform customer recommendations in the retail space.

Explore word similarities based on distributional similarity in a corpus