Popular GitHub Repositories for Mentioned Tickers

This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. ???

Prediction of respiratory diseases such as COPD(Chronic obstructive pulmonary disease), URTI(upper respiratory tract infection), Bronchiectasis, Pneumonia, Bronchiolitis with the help of deep neural networks or deep learning. We have constructed a deep neural network model that takes in respiratory sound as input and classifies the condition of its respiratory system. It not only classifies among the above-mentioned disease but also classifies if a person’s respiratory system is healthy or not with higher accuracy and precision.

Learning from Discharge Summaries to extract mentioned diagnoses using Hierarchical Attention Model

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

A curated list of awesome sentiment analysis studies, in which attitude corresponds to the text position conveyed by Subject towards other Object mentioned in text such as: entities, events, etc.

Linking the text to the IDs of entities from a knowledge graph. It not only produces the background knowledge of the directly mentioned entities in the text, but also the entities not mentioned in the text but closely linked to the content.

?? This project combines multiple operations in Microsoft Azure Cognitive Services into one GUI, including QnA Maker, LUIS, Computer Vision, Custom Vision, Face, Form Recognizer, Text To Speech, Speech To Text and Speech Translation. It's very user-friendly for users to implement any operation mentioned above.

Analyze Reddit posts/comments, uses an NLP model to recognize stock symbols and options positions

Our Medifix is an AI powered assistant powered on gpt-3.5 turbo (chatGPT). Medifix is designed to help people by providing preventive measures based on the symptoms mentioned.

Adversarial Attack using a DCGAN

NLP Coursework repository, commits uploaded by the contributors mentioned in the repo

This short project aims to gain insights from ~15000 tweets like sentiment analysis, top frequent words, top names and hashtags mentioned

Pretrained machine learning models, often downloaded from open repositories, can be tampered with privacy backdoors (realated to gradient descent optimization algorithm). The objective is to obtain the same results from the study done in the mentioned paper, but having a pretraining in MNIST and a finetunning in Fashion MNIST

Applying natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum. Applying fundamental NLP techniques to better understand the other factors involved with the coin prices such as common words and phrases and organizations and entities mentioned in the articles.

A collection tools to analyze stock tickers for the Model Context Protocol.

A lightweight Slack bot that suggests personalized, GPT-powered replies when you’re mentioned in a thread — fast, human-reviewed, and built for productivity.