Twitter bot that uses NLP models to summarize news articles referenced in a user's twitter timeline
1.) Extracts all tweets from the timeline corresponding to the inputted twitter handle
2.) Uses Google's T5-Transformer to summarize all articles referenced in those tweets
3.) Conducts preliminary semantic analysis on the title of the article.
4.) Displays article details, summary, title sentiment and generates a word cloud based on article content
Sample Output:
🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data
lang lang is a simple stack based programming language written in Python. It can
Open-World Entity Segmentation Project Website Lu Qi*, Jason Kuen*, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia This projec
Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets What is LASSL • How to Use What is LASSL LASSL은 LAnguage Semi-Super
Polish Wordnet Python library Simple, easy-to-use and reasonably fast library for using the Słowosieć (also known as PlWordNet) - a lexico-semantic da
Modeling the Background for Incremental Learning in Semantic Segmentation This is the updated official PyTorch implementation of our work: "Modeling t
State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o
Bi-directional Image and Text Generation UMT-BITG (image & text generator) Unifying Multimodal Transformer for Bi-directional Image and Text Generatio
PokéBattle is an esoteric language designed so that the program looks like the transcript of a Pokémon battle. Original inspiration and specification
PTR Code and datasets for our paper "PTR: Prompt Tuning with Rules for Text Classification" If you use the code, please cite the following paper: @art
Shashank Ojha, Sabrina Button, Abdellah Ghassel, Joshua Gonzales "Reduce Reuse R
New & (hopefully) Improved CYGNUS with several API updates, user updates, and online/offline operations added!!!
Quantifiers-and-Negations-in-RE-Documents This project was part of my work for a
JaQuAD: Japanese Question Answering Dataset for Machine Reading Comprehension (2022, Skelter Labs)
KnowledgeEditor Code for Editing Factual Knowledge in Language Models (https://arxiv.org/abs/2104.08164). @inproceedings{decao2021editing, title={Ed
Rachford-Rice Contest This is the 25 + 1 year anniversary version of the 1995 Rachford-Rice contest. Can you solve the Rachford-Rice problem for all t
PLBART Code pre-release of our work, Unified Pre-training for Program Understanding and Generation accepted at NAACL 2021. Note. A detailed documentat
RunMany Intro | Installation | VSCode Extension | Usage | Syntax | Settings | About A tool to run many programs written in many languages from one fil
English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp
Deepvoice3_pytorch PyTorch implementation of convolutional networks-based text-to-speech synthesis models: arXiv:1710.07654: Deep Voice 3: Scaling Tex
14 Nov 24, 2022
1 May 30, 2022
408 Dec 29, 2022
116 Dec 27, 2022
12 Dec 23, 2022
9 Dec 28, 2022
77.3k Jan 03, 2023
63 Oct 30, 2022
9 Jan 11, 2022
118 Dec 30, 2022
1 Mar 14, 2022
0 Mar 28, 2022
1 Feb 01, 2022
84 Dec 27, 2022
86 Nov 28, 2022
13 Sep 20, 2022
138 Dec 30, 2022
6 May 22, 2022
1 Dec 13, 2021
1.8k Dec 30, 2022