To classify the News into Real/Fake using Features from the Text Content of the article

Overview

Hoax-Detector

Authenticity of news has now become a major problem. The Idea is to classify the News into Real/Fake using Features from the Text Content of the article. Title and Text of the article are taken as input and Feature Engineering is performed by using Regular Expression . Our solution provides a system to detect fake news based on certain linguistic characteristics.

Extracted Features :

Title, Text – Length, Words, Ratio.
Punctuations Count – Question mark (?), Exclamation mark (!), Comma (,) , Dot (.) .

Dataset Link :

https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset                                                                              
Owner
Aravindhan
BEGIN IF Code == 'Infinity' THEN SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'Code to Die' END
Aravindhan
PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP. Democratize AI for everyone.

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP. Democratize AI for everyone.

Tencent 633 Dec 28, 2022
Sample data associated with the Aurora-BP study

The Aurora-BP Study and Dataset This repository contains sample code, sample data, and explanatory information for working with the Aurora-BP dataset

Microsoft 16 Dec 12, 2022
Implementation of legal QA system based on SentenceKoBART

LegalQA using SentenceKoBART Implementation of legal QA system based on SentenceKoBART How to train SentenceKoBART Based on Neural Search Engine Jina

Heewon Jeon(gogamza) 75 Dec 27, 2022
We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Voice Based Personal Assistant We have built a Voice based Personal Assistant for people to access files hands free in their device using natural lang

Rushabh 2 Nov 13, 2021
Telegram AI chat bot written in Python using Pyrogram

Aurora_Al Just another Telegram AI chat bot written in Python using Pyrogram. A public running instance can be found on telegram as @AuroraAl. Require

♗CσNϙUҽRσR_MҽSƙEƚҽҽR 1 Oct 31, 2021
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

A2T: Towards Improving Adversarial Training of NLP Models This is the source code for the EMNLP 2021 (Findings) paper "Towards Improving Adversarial T

QData 17 Oct 15, 2022
Reproduction process of BERT on SST2 dataset

BERT-SST2-Prod Reproduction process of BERT on SST2 dataset 安装说明 下载代码库 git clone https://github.com/JunnYu/BERT-SST2-Prod 进入文件夹,安装requirements pip ins

yujun 1 Nov 18, 2021
ACL22 paper: Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost LOVE is accpeted by ACL22 main conference as a long pape

Lihu Chen 32 Jan 03, 2023
A fast, efficient universal vector embedding utility package.

Magnitude: a fast, simple vector embedding utility library A feature-packed Python package and vector storage file format for utilizing vector embeddi

Plasticity 1.5k Jan 02, 2023
NLP techniques such as named entity recognition, sentiment analysis, topic modeling, text classification with Python to predict sentiment and rating of drug from user reviews.

This file contains the following documents sumbited for Baruch CIS9665 group 9 fall 2021. 1. Dataset: drug_reviews.csv 2. python codes for text classi

Aarif Munwar Jahan 2 Jan 04, 2023
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Salesforce 564 Jan 08, 2023
Indonesia spellchecker with python

indonesia-spellchecker Ganti kata yang terdapat pada file teks.txt untuk diperiksa kebenaran kata. Run on local machine python3 main.py

Rahmat Agung Julians 1 Sep 14, 2022
null

CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme

Yichun Shen 41 Dec 08, 2022
Milaan Parmar / Милан пармар / _米兰 帕尔马 170 Dec 13, 2022
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

Memorizing Transformers - Pytorch Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memori

Phil Wang 364 Jan 06, 2023
This repository contains the code for EMNLP-2021 paper "Word-Level Coreference Resolution"

Word-Level Coreference Resolution This is a repository with the code to reproduce the experiments described in the paper of the same name, which was a

79 Dec 27, 2022
ACL'2021: Learning Dense Representations of Phrases at Scale

DensePhrases DensePhrases is an extractive phrase search tool based on your natural language inputs. From 5 million Wikipedia articles, it can search

Princeton Natural Language Processing 540 Dec 30, 2022
Transformers and related deep network architectures are summarized and implemented here.

Transformers: from NLP to CV This is a practical introduction to Transformers from Natural Language Processing (NLP) to Computer Vision (CV) Introduct

Ibrahim Sobh 138 Dec 27, 2022
BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network)

BERTAC (BERT-style transformer-based language model with Adversarially pretrained Convolutional neural network) BERTAC is a framework that combines a

6 Jan 24, 2022
Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

Workshop: Enterprise-Scale NLP with Hugging Face & Amazon SageMaker Earlier this year we announced a strategic collaboration with Amazon to make it ea

Philipp Schmid 161 Dec 16, 2022