Word Vector Feature Creation
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Updated
Jun 20, 2018 - Clojure
Word Vector Feature Creation
NLP concepts and algorithms
Code resources for Central London Data Science Project Nights meetup on word vectors
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
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.
Reddit post classifier with sentiment analysis
Academic project in Social Network Analysis. This repository represents word-vectors as network graphs.
Domain Adaptation of Google's pre-trained Word Vectors to mid-19th century English Literature text | COL772 (NLP) @ IIT Delhi
Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses by deeplearning.ai
ML, DL & NLP
Evaluated the word vectors learned from both nce and cross entropy loss functions using word analogy tests
Experiments for my master's thesis about automatic dictionary generation.
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