A Kivy based application to determine the fitment of an employee from the supply database for particular demand heuristics.
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Updated
Sep 7, 2020 - Python
A Kivy based application to determine the fitment of an employee from the supply database for particular demand heuristics.
Classification of IT trouble tickets
A clone of the popular word association game contexto. using mongo DB , Gensim, Python
In-domain word embedding using Quora dataset.
Implementing and Visualizing Deep Learning Models
This repository contains code and resources for a SMS (Short Message Service) classification project using Word2Vec embeddings. The goal of the project is to classify SMS messages into spam or non-spam categories. The Word2Vec model is utilized for word embeddings, capturing semantic relationships between words in the SMS corpus.
This application is built for employers looking for candidates against a particular job description .
Spring Boot REST API to return a related word or words, with either semantic similarity as found by a Python Gensim script or similar letters
Project for Natural Language Processing Course at Columbia University's School of Engineering and Applied Science, Nov 2022
Word2Vec (gensim) trained on english wikipedia
calculating the text similarity but using gensim.
理系版 にほんごであそぼ inspired by ラムダ技術部
Georgetown University Medical Center ICBI summer 2019 research project involving the automation of the annotation of patients' clinical notes.
Labeled Word2Vec for Semi-Supervised Learning
Perceptron implementation for classification of sparse and dense vectors.
Search Engine using Word Embeddings, GloVe, Neural Networks, BART and Elasticsearch
This is an LSTM based NLP model to understand the causes of happiness that can be learned from texts.
Efficient Word2Vec vectors for Sentiment Analysis to improve Commercial Movie Success, done in two phases, involving machine learning and sentiment analysis.
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