Using word vectors to classify spam messages
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Updated
Dec 18, 2017 - TypeScript
Using word vectors to classify spam messages
GloVe word vector embedding experiments (similar to Word2Vec)
Finds out symptoms similar to a given symptom, from a symptom-disease data set.
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
A private, free, open-source search engine built on a P2P network
simple pytorch GloVe implementation
A text classification model with pretrained GloVe embeddings
Deep Learning model which uses Computer Vision and NLP to generate captions for images
Named-entity datasets and GloVe models for the Armenian language
A simple document and image search engine implemented in keras
Bi-Directional Attention Flow for Machine Comprehensions
LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
Using pre-trained word vectors obtained from GloVe algorithm
Operations on word vectors - measure similarity using cosine similarity, solve word analogy problems, reduce gender bias in word embedding.
The experiment with applying NLP to correction of definite/indefinite articles in English text corpus
[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data
Python interface for building, loading, and using GloVe vectors.
Julia interface to GloVe
C# implementation of GloVe algorithm (Pennington et al., 2014)
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