Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Statistical and Semantical Text Summarizer in Persian Language

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

使用doc2vec生成句子，段落或者文章的向量，以便查找其之间的相似性

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.

Document Similarity Measurement Using Doc2Vec and Gensim Library

Class project for Data 602 @ UMBC - Sentiment Analysis on user review data-sets from Amazon and IMDb

A Python implementation of a binary text classifier using Doc2Vec and SVM.

This repository houses all files related to my second Springboard Capstone: Automated Tagging of Stack Exchange Data Science Posts Using Natural Language Processing.

About Statistical and Semantical Text Summarizer in Persian Language

In this project we will be building question answering system using doc2vec model

Official repository for the 2020 Information Retrieval course of the "Università degli Studi di Trieste"

Practice how to perform text classification using a machine learning classification model and combinations of word embeddings or sentence embeddings as a feature vector

My work as machine learning intern. Unsupervised Text Clustering and Topic Modeling

basic topic modeling

Natural Language Processing