Generate and predict text, using Recurrent Neural Networks. (Keras+Tensorflow+Gensim)

A Kivy based application to determine the fitment of an employee from the supply database for particular demand heuristics.

Classification of IT trouble tickets

🎓 Diploma Thesis | A Word2vec comparative study of CBOW and Skipgram

Implementing and Visualizing Deep Learning Models

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.

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.

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

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

Word2Vec (gensim) trained on english wikipedia

Train word2vec and keeps all entities regardless of their frequency

Python, Gensim, Word2Vec, Jupyter Notebook

calculating the text similarity but using gensim.

Training a transformation matrix which can be used to “connect” word of language L1 in embedding space S1 to word of language L2 in embedding space S2.

NLP - Identify authors from their writings

A simple project that creates a dataset of News Headlines with Primary Category, Secondary Category, Date, Day, Month,Year, Sentiment, SentimentPolarity, Emotion and Url. All News Headlines are scraped from punch newspaper and sorted into a csv file.

In-domain word embedding using Quora dataset.