Word Vector Feature Creation
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Updated
Jun 20, 2018 - Clojure
Word Vector Feature Creation
Use of word embeddings and document similarity to solve word analogy problems
Semantic matching algorithm for linking texts with their relevant Medical Subject Headings (MeSH).
Construct a word2vec like model using matrix factorisation
Trying the random acts of pizza Kaggle challenge
📙 End-to-end NLP and data visualization pipeline of the text from a machine learning textbook.
This repo contains my work for this specialization. The code base, quiz questions and diagrams are taken from the Natural Language Processing Specialization unless specified otherwise.
A tool for learning morphological word embeddings
Sentiment analysis using random forest and word-vectorization
Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.
Use of word embeddings to classify sentiments of sentences and automatically attach emojis
Systems that can visualize word embedding vectors in 3D and 2D spaces.
Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.
Implemented some of the models and techniques learned in NLP to help build systems that help in daily life.
Reddit post classifier with sentiment analysis
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Course materials for "Meaningful Text Analysis with Word Embeddings," taught at the Digital Humanities Summer Institute, June 2021.
Word representation for Ukrainian with fastText
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