Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
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Updated
Aug 3, 2024 - Jupyter Notebook
Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).
Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
Statistical and Semantical Text Summarizer in Persian Language
Classe responsável por simplificar o processo de criação de um modelo Doc2Vec (gensim) com facilitadores para geração de um vocab personalizado e com a geração de arquivos de curadoria. Dicas usando elasticsearch e singlestore.
My work as machine learning intern. Unsupervised Text Clustering and Topic Modeling
In this project we will be building question answering system using doc2vec model
Practice how to perform text classification using a machine learning classification model and combinations of word embeddings or sentence embeddings as a feature vector
Class project for Data 602 @ UMBC - Sentiment Analysis on user review data-sets from Amazon and IMDb
Official repository for the 2020 Information Retrieval course of the "Università degli Studi di Trieste"
A Python implementation of a binary text classifier using Doc2Vec and SVM.
Document Similarity Measurement Using Doc2Vec and Gensim Library
This repository houses all files related to my second Springboard Capstone: Automated Tagging of Stack Exchange Data Science Posts Using Natural Language Processing.
Natural Language Processing
Add a description, image, and links to the doc2vec-model topic page so that developers can more easily learn about it.
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