A dataset under construction of Chinese Poetry 中文古文诗词数据集,，近1,4000诗人, 107,891唐诗，275,581宋词。

An open-source conversational language model developed by the Knowledge Works Research Laboratory at Fudan University.

Code for paper A simple approach to case-based reasoning in knowledge bases

[WACV 2024] TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval

J.A.R.V.I.S is a very advanced virtual assistant who can automate almost all tasks of everything of PC & IoT. Just Say It.

UTrack analyses the user's tweets and finds the level of Loneliness, Stress, and Anxiety, and their trends over time

"Welcome to my NLP mini-projects repository! Here, I'll share a collection of projects that explore various natural language processing (NLP) techniques and tools. From sentiment analysis to text classification, each project is designed to help you gain a better understanding of NLP and its applications. Whether you're new to NLP or an experienced

This project is a simple deep learning-based chatbot that uses a three-layer neural network to predict the intent of user inputs. The model architecture consists of the following layers:

Automatic Extractive Text Summarization using TF-IDF Frequency Analysis. This is a Node.js web application using Express.js on the server side.

Sentiment Analysis of Solar Energy Using Bidirectional Encoder Representations from Transformers

This repository contains the programs that I worked out in Natural Language Processing lab

📚 DSCI 550 Project: Analysis of Cyber Phishing Emails

Vision-Controllable Natural Language Generation

The aim of this work is to solve Audio Intent Detection Problem using off the shelf libraries

🐤A simple tweet classifyer with deep learning. That find diferences between two tweets using deep learning.🤖🧠

CSCI-SHU 376 Natural Language Processing | Spring 2021 | Final Project

A web application used to determine fake news articles utilizing Machine Learning and Natural Language Processing.

Machine and deep learning models to predict real or fake news.

A tool for Raw Text processing and deciphering the Sentiment as positive or negative based on training ML (Machine Learning) models on a dataset of reviews. The Bag Of Words model is coupled with the NLP (Natural Language Processing) method for text preprocessing, tokenisation and vectorisation to predict the sentiment as positive or negative fo…