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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
A simple document and image search engine implemented in keras
Named-entity datasets and GloVe models for the Armenian language
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
We use Bi-LSTM to learn to tag the Parts of Speech in a sentence using NLTK Brown corpus Dataset.
Representing sentences using word vectors semantically and visualizing them in 3 dimensional space
Code and Presentation for PyData Conference 2017
Abstractive and extractive text summarizer. The abstractive text summarizer is done using the T5Tokenizer. The extractive text summarizer is done with the help of glove word embeddings. Along with this other NLP libraries like nltk used.
The code to calculate similarity of different dataset
Arabic Word Embedding models SkipGram, and GLoVE are trained over Arabic Wiki data Dump 2018 dataset from scratch using Gensim and GLoVE python libraries. Then the models are evaluated on three NLP tasks and its results are visualized in T-SNE
Retrieve semantically similar Steam games.
A novel approach towards video-ranking using intent and relevance feedback
Intent Classification of Bank Customer Complaints for Helping Chatbots
Built a Twitter Sentiment Analysis tool using a GloVe word embedding vectors and LSTM Neural Networks from data out of a Kaggle dataset
Visualization of word embeddings using various algorithms.
Code snippets for NLP
Quotation generation using LSTM - Pytorch with custom embeddings trained with Glove model.