Amazon SageMaker Local Mode Examples

Wikidata embedding

Machine Learning Practise

This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow

🦆 Contextually-keyed word vectors

Mayabati is a personal AI chef designed for enhancing culinary experience. Crafted by Biswadeb Mukherjee, a leading developer of ParseSphere Innovations.

A novel approach towards video-ranking using intent and relevance feedback

I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.

Code, données et documentations de l'atelier "Apprentissage automatique pour la classification textuelle" organisé dans le cadre de l'Action Nationale de Formation "Exploration documentaire et extraction d'information" CNRS-INRAE en 2020-21.

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.

A django web backend server that has single api for collecting sentiment text as json format, analyze them with a huggingface pretrained model and return the sentiment of the text as a json response.

A resume filtering based on natural language processing

NLP notebooks

A clone of the popular word association game contexto. using mongo DB , Gensim, Python

This GitHub repository features Python code for Elasticsearch indexing and Word2Vec model training, enabling enhanced text document retrieval.

calculating the text similarity but using gensim.

This project is an unsupervised NLP-based recipe recommender system designed to provide personalized recipe suggestions. The system employs content-based filtering techniques, utilizing cosine similarity to measure the resemblance between user inputs and a database of recipes.

Convolution Neural Networks Machine Learning model to classify the polarity of tweet using Gensim Word2Vec.

Project for Natural Language Processing Course at Columbia University's School of Engineering and Applied Science, Nov 2022