An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: roberta-model

NasserMohamedEid/Text-AI-Detection

Language: Jupyter Notebook - Size: 64.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ThusharaN/SciBot

An attempt at creating a chatbot utilising the Retriever-Generator approach for Open-Domain Question-Answering (QA).

Language: HTML - Size: 258 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

oussafik/Data-Pipeline-Twitter-Sentiment-Analysis-ELK_STACK

This project analyzes tweets about electronic products using ReBERTa, Kafka, Logstash, Elasticsearch, and Kibana for sentiment analysis and data visualization.

Language: Python - Size: 111 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nataliakoliou/NLP-Various-Implementations

Implementation & analysis of various NLP techniques in Python: 4 projects on tokenization, text classification, sequence labeling, and more

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

purveshpatel511/offensive-hateful-text-multiclassification

This is NLP project of text multi-classification. My pre-trained model classify speech into three different categories offensive, hateful and neither.

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

cezarmendes/NLP-Recommendation-System-Restaurant-menu

This project presents an innovative approach to restaurant menu optimization through sentiment analysis of customer reviews. It utilizes advanced natural language processing (NLP) techniques, employing frameworks like NLTK, RoBERTa, SpaCy, and Word2Vec, to analyze and interpret customer feedback from Yelp reviews.

Language: Jupyter Notebook - Size: 31.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jpsam07/sentiment-analysis-on-amazon-fine-food-reviews

A natural language processing (NLP) project using Python with NLTK, and Huggingface Roberta Transformers for sentiment analysis on Amazon food reviews.

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AjNavneet/Emotion_Classification_RoBERTa_XLNet

RoBERTa and XLNet models to perform classification on the human emotion.

Language: Jupyter Notebook - Size: 500 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

rishi2002/Comparing-Pretrained-Language-Models-for-Molecular-Activity-Prediction

I predicted the pCHEMBL values, AlogP values, Molecular Weight and nunmber of Lipinski's Rule of 5 Violations of a biomolecule by end to end training multiple pretrained Language models, on Dopamine D2 active compounds sourced from the CHeMBL database.

Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

JayaswalVivek/Masked_Language_Model

Create a masked language model for a vernacular of your choice.

Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Kunal-Kumar-Das191049/Sentimental-Analysis-of-Amazon-Reviews

The Amazon Review Sentiment Analysis project is a machine learning project that aims to classify the sentiment of Amazon customer reviews using Natural Language Toolkit's VADER sentiment analysis tool and the huggingface Roberta Transformers package.

Language: Jupyter Notebook - Size: 1.97 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

PlexAlanche/sentiment-analysis

Sentiment Analysis using roBERTa

Language: Python - Size: 6.84 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

KaniskarK/Sentimental-Analysis-Using-Bert

Sentimental Analysis of Online Product Using Bert

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

szymonsocha/master-thesis

My master's thesis comparing the performance of various state-of-the-art approaches to fake news detection, such as BERT, RoBERTa, and GPT-2

Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

yueyu1030/COSINE

[NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach'.

Language: Python - Size: 30.7 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 196 - Forks: 24

yantrik-patel/Web-Scraping-and-Sentiment-Analysis-of-Food-Reviews

In this project I have done Web Scraping and Sentiment Analysis of Food Reviews.

Language: Jupyter Notebook - Size: 884 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jasminebilir/cs224N-transformer-ensemble-network

Ensemble Network Including Transformer Models for NLP Patient Text and ED Visit Prediction

Size: 6.64 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

AdityaKukreti/sentiment-analysis-test-app

A Windows desktop test app made using flutter for a sentiment analysis model.

Language: Dart - Size: 15.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

thedatanerdz/MLP-5

- Sentiment Analysis classifier of amazon customer reviews

Language: Jupyter Notebook - Size: 231 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

irenepisani/Key_Point_Analysis

Key Point Analysis: implementation of two-component system for performing Key Point Matching and Key Point Generation task with multiple PLMs.

Language: Jupyter Notebook - Size: 387 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

CoGian/toxicity-detection-in-text

This work focuses on the development of machine learning models, in particular neural networks and SVM, where they can detect toxicity in comments. The topics we will be dealing with: a) Cost-sensitive learning, b) Class imbalance

Language: Python - Size: 146 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

ayushrajdahal/NepaliTwitterSentimentAnalysis

Sentiment Analysis of Nepali Tweets using pretrained Natural Language Processing models

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

logarithmic-ai/logarithmic.ai-vibenet

Finetuned RoBERTa model for sentiment analysis tasks.

Language: Jupyter Notebook - Size: 45.4 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

DharshanPd11/Customer-Review-Sentiment-Analysis

Customer food reviews Sentiment Analysis

Language: Jupyter Notebook - Size: 518 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

phueb/BabyBERTa

Source code for CoNLL 2021 paper by Huebner et al. 2021

Language: Python - Size: 747 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 3

PrachiJainxD/text-to-sql Fork of nirvana1707/text-to-sql

CS 685 Advanced Natural Language Processing Project: Learning Schematic and Contextual Representations for Text-to-SQL Parsing

Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

hxycorn/Twitter-Sentiment-Analysis-about-ChatGPT

A quantitative study on over 1.25 million tweets about ChatGPT, employed data scrapping, data cleaning, EDA, topic modeling, and sentiment analysis.

Language: Jupyter Notebook - Size: 6.06 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 6

rafalposwiata/depression-detection-lt-edi-2022

This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at LT-EDI-ACL2022.

Language: Python - Size: 8.11 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

SuwaidAslam/AI_Generated_Text_Checker_App

This app Classifies the text generated by AI tools like chatGPT. Roberta-base-openai-detector Model has been used from hugging face to detect ai generated texts.

Language: Python - Size: 256 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

hossam-elshabory/AI-and-Data-jobs-Twitter-Sentiment-Analysis

This repo contains code for scraping tweets related to AI and Data Jobs from Twitter using snscrape and analyzing their sentiment using the "twitter-roberta-base-sentiment" model.

Language: Jupyter Notebook - Size: 991 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

soumyagautam/text-similarity

Software based on flask, used to check the most similar texts out of a list.

Language: HTML - Size: 40 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Llamacha/bert-ner-quechua

Language: Jupyter Notebook - Size: 554 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 3

eduar03yauri/DCGAN-text2face-forSpanish

This repository contains the code, models and corpus of the project "Generative Adversarial Networks for Text-to-Image Synthesis & Generation: A Comparative Analysis of Natural Language Processing models for the Spanish language".

Language: Python - Size: 10.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

FawziElNaggar/Question-MCQ-_Answer_Generation

Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.

Language: Python - Size: 18.6 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

JoAmps/KidFriendlySocial

A safe social media webapp using NLP models(BERT and GPT3) for bad language detection and content recommendations, deployed using docker and Kubernetes on digital ocean

Language: Python - Size: 47.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

urazdt/biogpt-detector

Approximation to detect BioGPT generations

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Data-Science-kosta/Long-texts-Sentiment-Analysis-RoBERTa

PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.

Language: Jupyter Notebook - Size: 8.5 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 7

Data-Science-kosta/Twitter-Sentiment-Analysis-RoBERTa

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

Language: Jupyter Notebook - Size: 4.74 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 1

mathildeoutters/Detect-patronizing-language

Participation to SemEval-2022 Task4 - Patronizing and Condescending Language Detection

Language: Jupyter Notebook - Size: 188 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Nathan-Nesbitt/roBERTaCODE

Code summarization using RoBERTa.

Language: Python - Size: 204 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 2

Arushi-Gupta07/Tweet-Sentiment-Extraction

This project is about analyzing the raw tweet and extracting the text or phrase that best supports the sentiment and categorize tweet into Positive, Negative or Neutral sentiments.

Language: Jupyter Notebook - Size: 6.96 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

thalibarrifqi/NLP-Twitter-Sentiment-Analysis

On May 29 we had the UEFA Champions League final between Real Madrid vs Liverpool. I use the keyword "UCL" to scrape about 10000 tweets from twitter, and then use it to see how twitter users think about it.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

abhiruchi1337/movie-tomt-nlp-544

Project associated with CSCI 544: Applied Natural Language Processing, Fall 2022.

Language: Jupyter Notebook - Size: 44.3 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

RobinSmits/FakeNews-Generator-And-Detector

Train a T5 model to generate simple Fake News and use a RoBERTa model to classify what's fake and what's real.

Language: Jupyter Notebook - Size: 31.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

JINHXu/how-much-hate-with-china

Code repository for the paper: How Much Hate with #china? A Preliminary Analysis on China-related Hateful Tweets Two Years After the Covid Pandemic Began

Language: Jupyter Notebook - Size: 6.69 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

LennartKeller/roberta2longformer

Convert pretrained RoBerta models to various long-document transformer models

Language: Python - Size: 24.4 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

secondlevel/NYCU-110-2-Natural-Language-Processing

It is the nlp task to classify empathetic dialogues datasets using RoBERTa, ERNIE-2.0 and XLNet with different preprocessing method. You can get some detailed introduction and experimental results in the link below.

Language: Python - Size: 46.9 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

t0re199/SNAMA_PROJECT

Sentiment Analysis on an amazon english reviews dataset using various transformers from Hugging Face.

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

baraki-weldat/Data-Science-Project-A1F

In this data science project, an eXplainable Hate Speech Classification model developed with BERT and SHAP Explanation tool.

Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

iiShreya/corono_tweet_sent

Sentiment Analysis on the Corona Tweet Dataset. Classification of tweets into classes: Positive, Negative and Neutral using various Machine Learning Models and Pre-Trained Models such as BERT and RoBERTa.

Language: Jupyter Notebook - Size: 9.52 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

anishgowda21/bhavana

A hindi text sentiment analysis application

Language: HTML - Size: 20.5 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 2

MalihehIzadi/catiss

CatIss is an intelligent tool for automatic categorization of issue reports based on the RoBERTa model.

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

mmaguero/clickbait-detector-en

Clickbait detector for English tweets, trained on Webis-17 dataset

Language: Jupyter Notebook - Size: 80.1 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Kingsman-Service/COVID-19-Information-Predictor

Implementation of a machine learning model to predict COVID-19 Informative Text.

Size: 1.22 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

jlacv/pytorch-Text_Classification

Exploring different state of the art nlp techniques and architectures for multi-label text classification

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Llamacha/QuBERT

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 3

vincentleooo/analytics-edge-data-comp

40.016 The Analytics Edge data competition code.

Size: 5.04 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

pdtbinh/CommonLit_Readability_ML_Kaggle

Predict readability of passages using Robustly Optimised BERT Pre-trained Approach.

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Related Keywords