GitHub topics: roberta-model | Ecosyste.ms: Repos

NakerTheFirst/Sentiment-analysis

Analyse social media sentiment of OpenAI using LinkedIn data with NLP and transfer learning

Language: Python - Size: 20.2 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

suhastr/SpecFusion

A machine learning project for requirement integration and semantic similarity.

Size: 7.81 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Albi1999/Binary_Classification_of_Populist_Discourse

Academic group project for the Natural Language Processing Course of the MSc in Data Science @ UniPD 2023/2024

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

A Python NLP project comparing rule-based sentiment classification with VADER and transformer-based models from 🤗 Huggingface. This project analyzes Amazon customer reviews to evaluate sentiment classification performance across traditional and deep learning approaches.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

shaoncse/covid-tweet-nlp-analysis

📊 Sentiment classification and topic extraction from COVID-19 tweets using NLP techniques (TF-IDF, KMeans, Voting Classifiers). University project for text analytics and public opinion analysis.

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

propa-zaman/A-Multilevel-Depression-Detection-from-Twitter-using-Fine-Tuned-RoBERTa

This project aims to detect and analyze different levels of depression (mild, moderate, and severe) through Twitter posts using a fine-tuned RoBERTa model.

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition

Transformers 3rd Edition

Language: Jupyter Notebook - Size: 313 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 436 - Forks: 163

Geode07/sentence_semantic_similarity_comparison

Comparing NLP techniques for characterizing semantic similarity of sentences.

Language: Jupyter Notebook - Size: 1.77 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ghulam-ahmad-1/Sentimental_Analysis

On pretrained Architecture Roberta

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fgaim/Tigrinya-PLMs

Monolingual Pre-trained Language Models for Tigrinya

Language: Python - Size: 576 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

godfrey-tankan/Plagiarism-ai-detector

Docuverify is a powerful plagiarism and AI detection platform designed to help users manage their documents effectively. The platform automates critical functions such as tracking document versions, generating reports, and providing alerts, ensuring a seamless user experience. Users can submit their documents to their supervisors for analysis, and

Language: TypeScript - Size: 7.08 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MON3EMPASHA/Question-Answering-with-Transformers

Interactive Web app for multilingual question answering using state-of-the-art Transformer models (BERT, DistilBERT, RoBERTa, DeBERTa, and multilingual BERT) for English and Arabic. Compare answers, try sample data, and explore chatbot-ready features.

Language: Python - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Samuela31/Sanskrit-Manuscripts-Revival-Using-Deep-Learning-Techniques

Restoring destroyed text in ancient Sanskrit manuscripts by predicting missing text using deep learning techniques. Mini project done in 3rd year of college using RoBERTa LLM, Tesseract OCR, and OpenCV.

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

utkarsh-tekriwal/Twitter-Sentiment-Analysis

Twitter sentiment analysis using RoBERTa + Gradio

Language: Python - Size: 132 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

KANSADWALA/Sentiment-Analysis-of-Social-Media

A desktop app for collecting, analyzing, and visualizing data from X (Twitter) and Instagram. Ideal for sentiment analysis, trend detection, and insights for marketers, researchers, and analysts.

Language: JavaScript - Size: 272 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Shakthirekak11/Political-Speech-Manipulation-Detection

🗳️ Political Speech Manipulation Detection uncovers misinformation, bias, and hostile rhetoric in political content using advanced language models and analytical pipelines. It processes speeches, tweets, and news articles to classify truthfulness, detect sentiment, and extract rhetorical and thematic patterns.

Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dimitriskalpak/open-language-models-sentiment

Sentiment analysis on Sentiment140 using BERT and RoBERTa models from Hugging Face

Language: Python - Size: 5.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ShwetaPardhi0/Sentiment-Analysis-nlp

Analyze customer review sentiments using NLP and transformer models like RoBERTa and BERT.

Language: Jupyter Notebook - Size: 903 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Ismat-Samadov/Named_Entity_Recognition

Named Entity Recognition Model for Azerbaijani Language

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

matancohen1205/Resume_Reveal

Predict seniority level from resume text and job role.

Language: Jupyter Notebook - Size: 5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Azie88/NLP-Huggingface-Covid-19-Tweet-Sentiment-Analysis

Fine Tuning text classification NLP models from huggingface with Covid-19 tweet data to build a model that classifies text based on Covid-19 sentiment

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Ad-Chekk/EchoAI

Web Content Analyzer with LLMs is a powerful tool for scraping, processing, and analyzing web content using advanced Machine Learning (ML) and Natural Language Processing (NLP) techniques. It leverages state-of-the-art models such as RoBERTa for extractive question answering, BART for summarization, and various other NLP models for tasks like senti

Language: Python - Size: 47.9 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kocharvishal/Fast-Speech-Transcription-Grammar-Scoring-Engine

Built a transcription system using OpenAI’s Whisper and Fine-tuned RoBERTa-base to automatically score grammar on 100K+ sentences

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hs094/Sciatica

Sciatica is a powerful semantic search engine designed for academic literature exploration. This tool leverages cutting-edge transformer models to deliver precise and contextually relevant search results.

Language: Jupyter Notebook - Size: 71.6 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Dhanush-R-git/MH-Analysis

The MHRoberta is Mental Health Roberta model. The pretrained Roberta transformer based model fine-tunned on Mental Health dataset by adopting PEFT method.

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

AAP9002/COMP34812-NLU-NLI

Natural Language Understanding - Natural Language Inference Coursework

Language: Jupyter Notebook - Size: 34.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jiangnanboy/text_security_audit

text security audit 安全审核-语义模型过滤敏感内容检测系统

Language: Java - Size: 70.3 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 23 - Forks: 7

spear97/Sentiment-Analysis-Django

A web application built using the Django framework that allows users to analyze the sentiment of text inputs, providing insights into the emotional tone and polarity of the content.

Language: Python - Size: 1.53 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2

valentynblaha/progetto-gestione

Best project ever

Language: Python - Size: 47.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

krishnaura45/Echoes-of-Emotion

😊Sentiment Decoding 🍔Amazon Food Reviews 🧩Multi-models

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

rutujaingole/Deep-Learning-ECE-7123-2025-Spring-Project-2

This repository contains the code, model configurations, and report for fine-tuning a roberta-base model using Low-Rank Adaptation (LoRA)- a Parameter-Efficient Fine-Tuning (PEFT) method - on the AG News classification task. The goal was to achieve high test accuracy while keeping trainable parameters under 1 million.

Language: Jupyter Notebook - Size: 4.24 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

msikorski93/Sentiment-Analysis-on-Amazon-Reviews

A basic NLP project on musical instruments reviews on Amazon.

Language: Jupyter Notebook - Size: 560 KB - Last synced at: 11 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

huseyincenik/nlp_natural_language_processing

NLP (Natural Language Processing)

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 5 - Forks: 1

Denis2054/Transformers-for-NLP-2nd-Edition

Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more

Language: Jupyter Notebook - Size: 90.2 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 872 - Forks: 330

louisbrulenaudet/lemone-embed

All-in-one repo for the Lemone-embed project, a series of fine-tuned embedding models for Tax retrieval augmented generation (RAG).

Language: Python - Size: 3.6 MB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

declare-lab/CICERO

The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich in commonsense.

Language: Python - Size: 7.62 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 64 - Forks: 7

delarosajav/tw-roberta-base-sentiment-FT-v2

This model is a second fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment, trained on the Sp1786/multiclass-sentiment-analysis-dataset. It builds on the first iteration by incorporating optimized techniques.

Language: Python - Size: 1.16 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

delarosajav/tw-roberta-base-sentiment-FT

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment on the dataset [Sp1786/multiclass-sentiment-analysis-dataset] (https://huggingface.co/datasets/Sp1786/multiclass-sentiment-analysis-dataset). The text classification task in this model is based on 3 sentiment labels.

Language: Roff - Size: 1.13 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

edwinrlambert/Sentiment-Analysis-Using-Flask

A Flask-based web application that leverages advanced Machine Learning techniques to analyze sentiment in text inputs or web articles. The app utilizes the Hugging Face's Transformers library, a pre-trained RoBERTa model, and provides intuitive results using radar charts.

Language: JavaScript - Size: 857 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 2

sambhu431/Multifunctional-ChatBot-Fine-Tuned-Using-Roberta-Bart-Transformers

The project contains code and resources for a sophisticated AI-driven chatbot designed to provide accurate, context-aware responses. It uses RoBerta and BART Transformers and advance NLP techniques. The chatbot is capable of handling a wide range of domains such as healthcare , finance , etc..

Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

saedeht/HeartBert Fork of ecgResearch/HeartBert

repo for the HeartBERT model

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

pngo1997/New-York-City-Airbnb-Recommender-System

Collaborative project of Content-based recommender system development of NYC Airbnb.

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Psyhackological/e-motion 📦

🙂🙃 Being happy :) being sad :( with this tool, you become sentiment GIGA chad!

Language: Python - Size: 10.7 MB - Last synced at: 4 days ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1

Gokay1904/Financial-Forecasting-with-AI-Transformer-Models

Analyzing sentiment scores from Twitter texts using transformer models (RoBERTa, BERT) and VADER, then comparing them with actual stock values by treating the problem as both numerical and categorical.

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

SimReale/tweets_sexism_detector

NLP assignments about creating a sexism classifier with different approaches.

Language: Jupyter Notebook - Size: 155 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

adam-aalah/Tweet-Sentiment-Classification

Language: Jupyter Notebook - Size: 7.12 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

sergiusechel/LLM-Masked-Robber

This script utilizes Facebook AI's RoBERTa model for masked language modeling to predict the top-k most likely words for masked tokens in a given sentence. It generates variations of the input sentence by filling in the masked tokens with the predicted words.

Language: Python - Size: 1.68 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Diana-proj/TeamLab

Emotion Detection in Text Data

Language: Jupyter Notebook - Size: 65.8 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Mnjar/sentiment-analysis-ecommerce

Sentiment analysis with self made dataset

Language: Python - Size: 20.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

TripCake/reddit-sentiment-anlysis

A simple usage of pretrained huggingface model RoBERTA to analyze reddit sentiments.

Language: Python - Size: 0 Bytes - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

abhilash1910/ClusterTransformer

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Language: Python - Size: 29.3 KB - Last synced at: 9 days ago - Pushed at: about 4 years ago - Stars: 43 - Forks: 15

mohammad95labbaf/TransformerSentimentAnalysis

Sentiment analysis on tweets using transformer models like BERT, RoBERTa, DistilBERT, ALBERT, and XLNet with evaluation metrics.

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SevilayMuni/Flask-App-Roberta-Detect-News

Flask Deployment: RoBERTa-Unreliable News Detection App

Language: Jupyter Notebook - Size: 6.62 MB - Last synced at: 17 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

anurima-saha/Yelp_Review_Classification_with_RoBERTa

Project begins with webscrapping Yelp reviews and rating with 'BeautifulSoup' in Python, followed by Natural Language Processing (text cleaning, removing stopwords, tokenization and lemmatization) using 'NLTK'. RoBERTa from 'HuggingFace' has been fine-tuned for text classification with early stopping and regularization using Pytorch.

Language: Jupyter Notebook - Size: 227 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

walidbosso/Roberta_Fine_Tuning_Sentiment_Analysis

Welcome to our RoBERTa Sentiment Analysis project! In this repository, we explore the world of Natural Language Processing (NLP) by fine-tuning a RoBERTa Transformer for sentiment analysis.

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

anurima-saha/Text-Classification

Wine reviews used to determine the type of wine training on imbalanced data using classification algorithms like SVM, Naive Bayes and Random Forest Classifier. Neural Network (CNN, RNN and LSTM) and LLM models (DistilBERT and RoBERTa) were also used followed by error analysis using SHAP.

Language: HTML - Size: 3.05 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

wangzes-kevo/entity-sentiment-soccer

Entity-Level Sentiment Analysis for Soccer Tweets

Language: Python - Size: 45.9 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sayande01/Amazon_Review_Sentiment_Analysis

This project is a tutorial on sentiment analysis in Python, using two approaches: VADER and the transformer-based RoBERTa model from Hugging Face. The Jupyter Notebook guides you through data preprocessing, model implementation, and result interpretation, showcasing traditional and advanced NLP techniques for sentiment analysis.

Language: Jupyter Notebook - Size: 896 KB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

centre-for-humanities-computing/literary_evocation

Contains data of the Ficiton4 corpus and for our experiment on literary sentiment evocation

Language: Python - Size: 22.4 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

DarshanAdiga/kannada-language-models

Language models fine-tuned for ಕನ್ನಡ (Kannada Language)

Language: Jupyter Notebook - Size: 938 KB - Last synced at: 9 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

Jay1194/InboxGeniusAI

InboxGeniusAI is an AI-driven email management tool that automatically categorizes emails, prioritizes important ones, and provides summaries and follow-up reminders. It includes sentiment analysis, voice search, and a personalized dashboard, adapting to user behavior for a streamlined inbox experience.

Language: JavaScript - Size: 2.81 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0

Textualization/Ropherta

Compute RoBERTa embeddings in PHP using ONNX framework.

Language: PHP - Size: 47.9 KB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3

Bayunova28/Mental_Health_Sentiment_Analysis

This repository contains about my personal learning project about sentiment analysis using Simple Transformers BERT model

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

HiresH9/Sentiment-Analysis

Sentiment Analysis is a natural language processing (NLP) technique used to determine the sentiment expressed in a piece of text. The goal is to analyze and categorize the emotions conveyed by the text, typically into categories such as positive, negative, or neutral. This process can help businesses understand customer opinions

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

shwetapardhi/Project--Sentiment_Analysis

# Project--Sentiment_Analysis Developed Python script to extract comments data from Amazon and Official site. Performed NLP based Tokenization, Lemmatization, vectorization and processed data in Machine understandable language Have used VADERS, ROBERTA and BERT models to find the sentiment of the reviews and used the ratings on the source to chec

Language: Jupyter Notebook - Size: 886 KB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Ahwar/NER-NLP-with-ONNX-Java

A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.

Language: Java - Size: 218 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 2

deepmancer/roberta-adapter-fine-tuning

Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers

Language: Jupyter Notebook - Size: 156 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

ErfanShm/sentiment-emotion-analysis-app

A practical tool leveraging DistilBERT for sentiment analysis, offering both Streamlit and Gradio interfaces. Includes automated setup for easy deployment.

Language: Python - Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rudolfolah/ludwig-code-gen

Generating code with Ludwig AI/ML (PyTorch, Tensorflow)

Language: Python - Size: 2.93 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

sohaib-arafat/nlp_matcher

This project uses the stsb-roberta-large sentence transformer model (deprecated) to check whether a set of given phrases match a certain phrase in meaning.

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

escaperwu/Movie_genres_classify

predict movie's genres based on overview

Language: Python - Size: 107 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Saniya-fatima/SentimentSense

Sentiment Sense is a Python project that combines VADER sentiment analysis with fine-tuned RoBERTa models to predict sentiment scores for textual data. It provides a streamlined way to analyze sentiment across various texts using state-of-the-art natural language processing techniques.

Language: Jupyter Notebook - Size: 845 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

abdulrabbanisyed/LLMs-on-Sentiment-Analysis

GPT and BERT on Sentiment analysis

Language: Jupyter Notebook - Size: 183 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

jordangreaux/US-Election-Sentiment-Analysis

Analysis of a sample of comments taken from r/Politics on June 28, 2024.

Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Seavleu/Amazon-Fine-Food-Review-Sentiment-Analysis

Language: Jupyter Notebook - Size: 816 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hperer02/PII-data-detection

This project was developed for a Kaggle competition focused on detecting Personally Identifiable Information (PII) in student writing. The primary objective was to build a robust model capable of identifying PII with high recall. The DeBERTa v3 transformer model was chosen for this task after comparing its performance with other transformer models.

Language: Jupyter Notebook - Size: 162 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RcrSavior/SentimentAnalysis-TopicModelling

Language: Jupyter Notebook - Size: 550 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

lorenzobalzani/nlp_projects 📦

This repository contains assignments, the final course project, and the project work assigned for the Natural Language Processing (NLP) course within the Artificial Intelligence Master's program.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

ai-forever/model-zoo

NLP model zoo for Russian

Size: 22.5 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 45 - Forks: 1

JordiMoralesCasas/LayoutLMv3-on-InfographicVQA

LayoutLMv3 applied to a VQA problem with infographics.

Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

layoreo23/sentiment-analysis

Natural Language Processing Python Project creating a Sentiment Analysis Classifier with NLTK's VADER and Huggingface's Roberta Transformers

Language: Jupyter Notebook - Size: 819 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

manickavela29/EmoTwitter

OnnxRT based Inference Optimization of Roberta model trained for Sentiment Analysis On Twitter Dataset

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

abhishekverma276/Sentilyze

Sentify aims to analyze sentiment in text from social media, news, and websites. Real-time analysis, granular classification, customizable settings.

Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

swati-rajwal/migraine

Language: Python - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

harmanveer-2546/Sentiment-Analysis-of-Amazon-Fine-Food

For this project, machine learning algorithms are used on amazon fine food reviews dataset to analyze if the given review is a positive review or a negative review.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MajaJuri/NLP_Emoji_Recommendation

Projekt u sklopu predmeta Obrada prirodnog jezika

Language: Jupyter Notebook - Size: 93.5 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mverbytska/amazon-reviews-sentiment-analysis

Get a better understanding on Amazon reviews overall sentiment for food goods group (April, 2024)

Language: Jupyter Notebook - Size: 7.49 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Ritwika-Das-Gupta/Disease-Diagnosis-Chatbot

This project explores the foundational concepts of ML, NLP, and model optimization to develop an efficient and user-friendly healthcare solution.

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

farneet24/Pre-trained-Models

This repository houses three fine-tuned machine learning models for NLP tasks: Text Emotion Recognition, Sentiment Analysis, and Cyberbullying Detection.

Language: Jupyter Notebook - Size: 113 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Alberto-00/Estrazione-Automatica-di-Informazioni-da-Testi

More and more people are exchanging text messages through the use of social media, and the analysis of the information can be used to make statistics in the behavior and in people's psychology. Using Natural Language Processing (NLP), we can extrapolate key words from each message that allow us to achieve the proposed goals.

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TirendazAcademy/Multilingual-NER-App

Building a multilingual NER app with HuggingFace, Gradio and Comet

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MatthieuLeNozach/sentiment_analysis_api_with_fastapi

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Jamescruz424/Building-a-Language-Understanding-and-Question-Answering-System-using-Jeopardyl-Dataset

This repository contains the code and resources for building a language understanding and question answering system using the Jeopardy! dataset. The project aims to train a language understanding model to extract meaning from open-ended questions and leverage that understanding to answer the questions using a dedicated QA system.

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ycbkr123/RoBERTa-pytorch

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NnekaAsuzu/question-answering-system-using-Gradio-s-lower-level-API

This repository implements a question-answering system using Gradio's lower-level API, featuring two input fields for context and user questions. The system utilizes the deepset/roberta-base-squad2 model and provides a user-friendly interface for model interaction.

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