PHP + +pgSQL w/ pgvector webapp to take linear combinations of words using word2vec embeddings
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Updated
Sep 19, 2024 - Python
PHP + +pgSQL w/ pgvector webapp to take linear combinations of words using word2vec embeddings
This repository implements different architectures for training word embeddings.
Natural Language Processing implementations from scratch in Python.
🤖💻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.
Code to create a natural language search facility in Google BigQuery
Categorizing Product reviews in appropriate categories.
A repository for my semester project for my graduate Data Mining I.
Explore word similarities based on distributional similarity in a corpus
Detect lexical blending using similarity by approximate string matching and word vectors
Algunos nbs sobre procesamiento del lenguaje natural
Visualization of word embeddings using various algorithms.
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.
Identifying Interpretable Word Vector Subspaces with PCA
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.
Source code for Graded Weighted Bag of Word Model (Coling 2016)
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