CDurepos/neutral-net

Neutral Net is a React/Flask web application developed for the COS398 Ethics and Social Impacts of Computing course at the University of Southern Maine. This application utilizes SerpAPI and a fine-tuned BERT model to analyze Google search results for bias.

Language: TypeScript - Size: 33.2 KB - Last synced at: about 9 hours ago - Pushed at: about 9 hours ago - Stars: 0 - Forks: 0

Mushfiqur6087/NLBSE-25

Repository for "Code Comment Classification with Data Augmentation and Transformer-Based Models", submitted as a solution for the NLBSE'25 Code Comment Classification Tool Competition. This repository hosts all relevant scripts, datasets, and model configurations used in the project.

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

matancohen1205/Resume_Reveal

Predict seniority level from resume text and job role.

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Mp40860868/git-hub-class

# git-hub-class This project demonstrates how to use Git and GitHub effectively within Visual Studio Code. Explore features like version control and collaboration with ease! 🐙💻

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ikram98ai/fakenews_detection_bert_aws_pipeline

End-to-end ml pipeline with sagemaker for detecting fake-news with BERT

Language: Jupyter Notebook - Size: 178 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

pranayshekhar01/bert-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

AnuragChaudhari9/Sentiment-Analysis-of-Conversations

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

AntonisZks/Deep-Learning-for-Natural-Language-Processing

This repository focuses on Deep Learning in NLP and implements sentiment classification models on a Twitter Dataset, using machine learning algorithms. It is based on an assignment from the Department of Informatics and Telecommunications at the University of Athens.

Language: Jupyter Notebook - Size: 49.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

MatheusADC/FineTunningBERT

O projeto utiliza o BERT da Google para realizar o fine-tuning de um código que detecta discursos de ódio.

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Sourabh-25/Answerability-Detection-with-a-dual-model-approach

An attempt to detect answerability of a question based on given context

Language: Python - Size: 19.5 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 1

dp-ops/ABSA

Aspect Based Sentiment Analysis using greek review dataset scrapped from Skroutz

Language: Python - Size: 103 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Protosec-Research/PwnBERT

A project based on Fine-tuned BERT to detect GLIBC vulnerabilities.

Language: Python - Size: 71.3 KB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 11

shaharoded/BERT-Very-Not

An experimental NLP project aiming at exploring methods to fine-tune BERT model to better distinction of negation

Language: Python - Size: 13.7 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

Snigdho8869/Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 29 - Forks: 4

sangampaudel530/movie-review-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 854 KB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

janaghoniem/Social-Media-Sentiment-Analysis

This project uses deep learning and machine learning models to classify text sentiment as Positive or Negative. The models were trained for English and Arabic to ensure high accuracy for each language.

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 2

Kaushik-Puttaswamy/Master-Thesis-Transparency_MedTranscription_BERT_XAI

Enhancing Transparency in Medical Text Transcription Classification: Assessing BERT Pre-trained Language Model Performance and Decision-Making Using Explainable AI (XAI) Techniques

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 20 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

taylor-marrion/LLM_VulnHunter

LLM-Based Vulnerability Detection in Tokenized Assembly: A Case Study on CWE-457

Size: 164 KB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Razvan48/Proiect-Natural-Language-Processing-NLP

Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

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sumeethande/informatiq-app

Codebase for the InformatIQ💡 app. This app uses Deep Learning methodologies to extract important information from PDF files. Ideal use case for this app is extracting information from University module handbooks.

Language: Python - Size: 10 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

DeepraMazumder/Cyberbullying-Detection-and-Analysis-in-Social-Media

ML and DL project to identify and analyze different forms of cyberbullying across social media platforms for automated abuse detection

Language: Jupyter Notebook - Size: 57.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mE-uMAr/nlp-byteBrains

Its an NLP Based Resume Analysis and Job Recommendation System built using Transformers like BERT, Roberta, Distillbert and for web application Django is used

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AndyMalela/Finetune-BERT

Storing a simple project of me fine-tuning and training BERT for a text classification task.

Language: Python - Size: 2.42 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

pietrosaveri/SWSW-SD

Shocking Water is still Wet

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Kr1mson/Stack_pop

A curated collection of four transformer models-BERT, RoBERTa, ALBERT, and DistilBERT-each fine-tuned on 60,000 Stack Overflow questions.

Language: Jupyter Notebook - Size: 4.49 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

Sanofi-Public/Clinical-BERT-Explainability

To explain clinical BERT model predictions, we present an approach which leverages integrated gradients to attribute events in medical records that lead to an outcome prediction.

Language: Python - Size: 768 KB - Last synced at: 3 days ago - Pushed at: 5 months ago - Stars: 7 - Forks: 0

abhi227070/Fine-Tuning-BERT-for-Text-Classification

In the realm of medical research and diagnostics, the classification and analysis of cancer-related data hold immense importance. Leveraging state-of-the-art natural language processing (NLP) techniques, this project endeavors to classify textual data associated with cancer-related information using BERT - a powerful LLM developed by Google.

Language: Jupyter Notebook - Size: 168 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

armandanusca/topic-modelling-risk-factors

A prototype pipeline to extract topics and forecast their importance from annual statements

Size: 23.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Abhigyan126/Spam-classification-using-Transformers

Classifying youtube spam comments using transformers- BERT

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heliumind/msc-thesis

Code and text for my master's thesis

Language: TeX - Size: 3.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

davutbayik/metacritic-games-sentiment-analysis

Sentiment analysis to Metacritic games reviews using a fine-tuned and pre-trained BERT model and visualizations using matplotlib, seaborn, plotly libraries.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

NishanthN27/RouteWise-A-Sentiment-Driven-Customer-Support-Routing-System

Language: Jupyter Notebook - Size: 118 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

KeshavElangoDS/Mental-Health-Analysis-using-Social-Media-Data

Machine learning project to detect and classify mental health-related social media posts using NLP techniques for early intervention and awareness.

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

purvapr13/Amny_Chatbot_Hackathon

Language: Python - Size: 207 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

SayamAlt/Symptoms-Disease-Text-Classification

Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.

Language: Jupyter Notebook - Size: 860 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

DSXiangLi/ChineseNER

中文NER的那些事儿

Language: Python - Size: 117 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 318 - Forks: 57

LeNguyenAnhKhoa/Russian-Emotion-Detection

Emotion Detection for Russian language base on Bert

Language: Python - Size: 251 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

sskeen/bar_policy_suicidality

Archival code and open materials: 'Passive suicidality in a repressive U.S. political context.' Additional documents, including a populated pre-analysis plan ("P-PAP"), hosted on Open Science Framework.

Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

dkeyGit/Relevance-Classifier

A microservice for the automatic classification of online feedback sentences for requirements engineering using a fine-tuned LLM

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4darsh-Dev/CogniGaurd

A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 21 - Forks: 49

shrikantnaidu/BERT-for-Text-Classification-with-TensorFlow

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MicheleCazzola/llms4subjects Fork of RonPlusSign/llms4subjects

Our solution to the SemEval 2025 Task 5 - LLMs4Subjects. Developed as academic project at Polytechnic of Turin, A.Y. 2024-25

Size: 1.02 GB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

litus-ai/classy

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Language: Python - Size: 2.99 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 87 - Forks: 3

Maximo-Rulli/Auto-CNC

Sorting and oganizing a factory's production using Machine Learning

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

delarosajav/HateSpeech-BETO-cased-v2

A fine-tuned model for detecting hate speech in Spanish, targeting racism, homophobia, sexism, and transphobia. Built on dccuchile/bert-base-spanish-wwm-cased, it’s trained on the manueltonneau/spanish-hate-speech-superset dataset with additional Paul dataset samples for improved accuracy and nuance. Ideal for content moderation.

Size: 370 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

torleifg/multi-label-bert-classifier

A collection of Jupyter Notebooks for fine-tuning BERT models on multi-label classification tasks (e.g. genre and form classification of book reviews).

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sarthakm402/Smart_Recommender_system

Uses sentiment analysis and recommendation algorithms to provide personalized hotel suggestions.

Language: Python - Size: 27.3 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

codeonthespectrum/Curupira.ia

CurupiraIA: A Brazilian Portuguese hate speech detection model using BERT fine-tuning, inspired by folklore guardianship principles to protect digital communities from toxic content.

Language: Jupyter Notebook - Size: 348 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

EveryOneIsGross/qBERT

chat with your base bert model

Language: Python - Size: 73.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

sleepingcat4/bert-textgeneration

A complete guide in generating text using bert and fine-tune

Language: Jupyter Notebook - Size: 687 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2

rubenahrens/BioBERT-NER

This project involved fine-tuning BioBERT on the CSIRO Adverse Drug Event Corpus (CADEC) dataset to perform Named Entity Recognition (NER) and detect adverse drug responses through customer reviews.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AshutoshDongare/softskill-NER

Fine tuning 🤗 transformer model for softskill NER task

Language: Jupyter Notebook - Size: 65.4 KB - Last synced at: 21 days ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

Pavansomisetty21/Tabular-Question-Answering-on-Relational-data-and-CSV-data-with-Gemini-LLM

In this we explore into a Question Answering task on structured relational data (Tables) and CSV data

Language: Jupyter Notebook - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0

Vasang123/Edge-IotDistilbert

Edge-IoTDistilbert Documentation

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haarry9/ner-bert-api

Named Entity Recognition (NER) BERT API built with 🤗 Huggingface and⚡FastAPI.

Language: Python - Size: 217 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

devroopsaha744/HateSpeechDetect-text

In this project, I focused on benchmarking various machine learning models, deep learning architectures, and fine-tuned BERT-based models to evaluate their performance across multiple metrics

Language: Jupyter Notebook - Size: 2.6 MB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

SuroBuro/BERT-Misogyny-Checker

This is a misogyny detection model created on top of the base BERT model. It has been fine-tuned on the data provided in CSEA for AI for Safer Online Spaces for Women Submission

Language: Jupyter Notebook - Size: 69.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

emilh7279/german-sentiment-feedback-analysis

📊 German Sentiment Analysis for Service Desk Feedback with TextBlob-de, Hugging Face's BERT, and Custom Self-Trained Models. Welcome to the German Sentiment Analysis project, where we utilize TextBlob-de, Hugging Face's BERT, and Custom Finetuned Models for analyzing customer feedback from a service desk.

Language: Python - Size: 58.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Vidhi1290/Multi-Class-Text-Classification-using-BERT-Model

Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.

Language: Jupyter Notebook - Size: 26.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

davide-abbattista/spamBERT

Simple user-friendly webpage for spam classification of email and sms texts using a fine-tuned BERT base model (cased)

Language: Python - Size: 2.71 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 0

PinsaraPerera/Fine-tuning-Bert-with-Low-Rank-Adaptation

fine-tuned BERT Base 110M parameters model with Low-Rank Adaptation (LoRA). The model is trained on a dataset of URLs labeled as either phishing or legitimate.

Language: Jupyter Notebook - Size: 128 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sukhijapiyush/Fine-Tune-Bert-for-Sentence-Pair-Classification

BERT: Sentence-Pair Classification for Natural Language Understanding

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

injamul3798/Fine-Tuning-BERT-for-E-commerce-Text-Classification-A-Multi-category-Approach

In this Kaggle project, we leverage the power of the BERT (Bidirectional Encoder Representations from Transformers) model for fine-tuned multi-category text classification in the context of E-commerce. Our dataset comprises product descriptions from four distinct categories - "Electronics," "Household," "Books," and "Clothing & Accessories.

Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

4darsh-Dev/dark_pattern_detector_app

Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app

Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

lasigeBioTM/K-RET

K-RET: Knowledgeable Biomedical Relation Extraction System

Language: Python - Size: 4.17 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 9 - Forks: 3

samehaisaa/GO-DataScience-4.0---Mental-Health-Text-Classification-

My work for the GO DATA SCIENCE 4.0 (GO DS 4.0) Hackathon hosted on Zindi (Feb 15 - Feb 16, 2024). The challenge focused on multi-class text classification for mes ntal health discussions. I placed in the top 22% of the participants. I fine-tuned transformer models, including BERT and RoBERTa.

Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

yashsmehta/personality-prediction

Experiments for automated personality detection using Language Models and psycholinguistic features on various famous personality datasets including the Essays dataset (Big-Five)

Language: Python - Size: 35.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 199 - Forks: 53

TiagoSanti/LID-token-classification

Scrap, token classification and model deployment for a selective process.

Language: Python - Size: 415 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

faezesarlakifar/text-emotion-recognition

Persian text emotion recognition by fine tuning the XLM-RoBERTa Model + Bidirectional GRU layer.

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

LuluW8071/Text-Sentiment-Analysis

Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers

Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 2

sadickam/sdg-classification-bert

This repository powers a Streamlit app for classifying text with respect to 16 of United Nations Sustainable Development Goals (SDG)..

Language: Python - Size: 61.5 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

prajakta1321/AuthenCheck

Amdocs Gen AI Graduate Hackathon 2024-25- A comprehensive fact-checking and misinformation detection system that leverages cutting-edge AI models and multiple news sources to verify information circulating on social media

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

firojalam/crisis_datasets_benchmarks

Crisis Dataset for Benchmarks Experiments

Language: Python - Size: 1.41 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 16 - Forks: 5

azizp128/prediksi-emosi-indobert

Model analisis sentimen berbasis IndoBERT yang dapat memprediksi 6 jenis emosi dalam suatu kalimat, yaitu marah, sedih, senang, cinta, takut, dan jijik.

Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

jaswanthv99/Hate-Speech

Analyzing the content of a communication—including text, audio, and other forms of media—is one method of detecting hate speech. This method is used to determine whether a communication—including text, audio, and other forms of media—contains hatred or urges violence against an individual or a group of people.

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kuro-jojo/bert-transaction-categorizer-api

This API categorizes financial transactions using a fine-tuned BERT model. It provides endpoints to categorize single or multiple transactions.

Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

spolivin/lang_recogn_app

FastAPI application for language detection

Language: Jupyter Notebook - Size: 245 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

MehdiJamalkhah/Deep-Learning-Course-Homeworks-S2024

Deep Learning course, Spring 2024, Sharif University of Technology, Dr. Soleymani

Language: Jupyter Notebook - Size: 184 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

elnaske/Hierarchical_Text_Classification_with_BERT

An approach to using BERT models for text classification within a hierarchical taxonomy.

Language: Python - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

liviuxyz-ctrl/SentimentSense

SentimentSense: A sentiment analysis app using fine-tuned BERT for IMDB movie reviews. Includes a Streamlit GUI for ease of use.

Language: Python - Size: 318 KB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

replika-ai-solutions/Bert-PDF-IMG-Markup

Automação de Extração e Processamento Multimodal com BERT e OCR 🚀

Language: Python - Size: 27.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Pavansomisetty21/Language-Model-Symphony-Harmonizing-BERT-and-BART-for-Dynamic-Text-Processing

In this we explore text classification, NER ,question answering using BERT and text summarization and question answering using BART

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Luckilyeee/Hate-Speech-Detection

Achieving Hate Speech Detection in a Low Resource Setting

Language: Jupyter Notebook - Size: 5.98 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

textgain/grasp

Essential NLP & ML, short & fast pure Python code

Language: Python - Size: 58.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 74 - Forks: 19

sammartinoj/Mental-Health-Classification

Mental Health Classification tool for Text Analyiss Tools Final Project Fall 2024

Language: Python - Size: 122 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

JensBender/hate-speech-detection

Deep learning-based hate speech detection for social media comments.

Language: PureBasic - Size: 11.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 4

Allicai/EmotionClassification

Performing emotion classification on a kaggle dataset using models such as Logistic Regression, LSTM Neural Network, and DistilBERT, a transform-based model.

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shank959/crypto-sentiment-analysis

This cryptocurrency market sentiment analysis tool leverages a fine-tuned RoBERTa model for 98% accurate sentiment classification of cryptocurrency-related news articles. It uses Selenium and BeautifulSoup for web scraping news articles and provides insightful market sentiment analysis and data visualization

Language: Python - Size: 16.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ibnkir/medical_qa_project

Recommendation Service for Searching and Ranking Medical Questions Similar to User Queries, Author: Kirill N.

Language: Jupyter Notebook - Size: 333 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

plehman2000/Sabu

Tool for analyzing tweet sentiment, toxicity and emotion.

Language: Python - Size: 5.14 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

marianaescobar/Examen-Final-Grupo-4

We are going to use a pre-trained BERT model to analyze economic news. This model will help us convert the news from text to numbers, enabling us to predict the potential impact of economic news on people's personal finances.

Size: 7.81 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Mahedi-61/Text_Guided_Face_Recognition

[WACV 2024] PyTorch implementation for Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning

Language: Python - Size: 23.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

iPrinka/text-classification

This project implements a hybrid approach to classify unlabeled news articles into meaningful categories by combining unsupervised topic modeling and supervised text classification using BERT.

Language: HTML - Size: 32.1 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

madihanazir/Sentiment-Analysis

BERT model used to analyze public sentiment about the Israel-Palestine war

Language: Jupyter Notebook - Size: 238 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

wothmag07/sentimental-analysis-with-BERT

Language: Python - Size: 9.77 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Ahmed-El-Zainy/multi-lang-sentiment-analysis

Build Multi-language Sentiment Analysis Streaming System

Language: Jupyter Notebook - Size: 906 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

Devorein/SemEval-2023-Task-10-EDOS

Submission for SemEval 2023 Task 10 EDOS

Language: Python - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

unnamed-catalyst/Fine-Tuning-Transformers

Code for a comparative analysis of the performance of fine-tuned transformer models on climate change data. The transformer models used were BERT, DistilBERT and RoBERTa.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 15 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

ShlokArora2709/ESG-Project

This project automates ESG data collection and analysis by scraping ESG ratings and gathering related news articles. It uses a fine-tuned mBERT model to classify articles into ESG categories, providing insights into companies' performance and public sentiment.

Language: Jupyter Notebook - Size: 7.66 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

hs622/.horizon

Digit Publication Platform

Language: TypeScript - Size: 211 KB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0